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2. Long term operational modal analysis of a stadium grandstand to structural health monitoring purposes
Vanali, M. (Dipt. di Meccanica, Politec. di Milano, Milan, Italy); Cigada, A. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 103-9, 2009
3. High resolution, dynamic strain measurements with continuous fiber Bragg gratings for structural health monitoring
Sang, A. (Luna Innovations Inc., Roanoke, VA, USA); Marsden, K.; Wolfe, M.; Gifford, D.; Froggatt, M.; Soller, B. Source: 2009 IEEE Avionics, Fiber-Optics and Phototonics and Photonics Technology Conference. AVFOP 2009, p 29-31, 2009
4. Guided wave excitation by a CLoVER transducer for structural health monitoring: theory and experiments
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Casalicchio, M.L. (Dept. of Electron., Politec. di Torino, Turin, Italy); Penna, A.; Perrone, G.; Vallan, A. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 87-92, 2009
7. Sensor data collecting system for railway facilities
Watanabe, Y. (Railway Technical Research Institute, Facilities Management Systems, Kokubunji-shi, Tokyo, Japan); Sato, N.; Tsuchiya, R. Source: WIT Transactions on the Built Environment, v 108, p 647-658, 2009, Safety and Security Engineering III Language: English
8. Research on signal processing for bridge health monitoring
Chen, Jing (School of Automation, Wuhan University of Technology, WuHan, HuBei, 430070, China); Wan, Chun; Xiao, Chun; Li, Liqiao Source: ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, p 4338-4342, 2009, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments Language: English
9. Investigation of wind turbine blade monitoring based on optical fiber Brillouin sensor
Furong Zhang (Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China); Yongqian Li; Zhi Yang; Liping Zhang Source: 2009 International Conference on Sustainable Power Generation and Supply. SUPERGEN 2009, p 4 pp., 2009
10. Research on monitoring technology of bolt tightness degree based on wavelet analysis
Bao, Peng-Yu (Department of Automation Science and Electrical Engineering, BeiHang University, 100191 Beijing, China); Yuan, Mei; Fu, Zhong Source: ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, p 4329-4333, 2009, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments Language: English
11. Real-Time monitoring of hurricane winds using wireless and sensor technology
Otero, Carlos E. (Florida Institute of Technology/Electrical and Computer Engineering, Melbourne, FL, United States); Velazquez, Antonio; Kostanic, Ivica; Subramanian, Chelakara; Pinelli, Jean-Paul; Buist, Larry Source: Journal of Computers, v 4, n 12, p 1275-1285, December 2009 Language: English
12. Air quality control for health care centres. The application of an intelligent distributed system
Di Lecce, V. (DIASS, Taranto, Italy); Amato, A.; Martines, C.; di Bari, P.; Dario, R. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 27-30, 2009
13. Multi-channel data-acquisition and controller for mobile health monitoring system with HSDPA and GPS
Wu, Yu-Chi (Department of Electrical Engineering, National United University); Chen, Pei-Fen Source: 2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009, p 227-231, 2009, 2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009 Language: English
14. A method of high efficiency ultrasonic excitation
Zhixue, Shao (Nanjing Engineering Institute, No. 1 Haifuxiang, Nanjing 210007, China); Lihua, Shi; Haitao, Zhang; Qin, Yin Source: ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, p 1479-1482, 2009, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments Language: English
15. Study on genetic algorithm used in damage identification
Du, Chong (School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China); Yuan, Mei; You, Qiang Source: ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, p 1404-1407, 2009, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments Language: English
16. Smart high-performance materials for the multi-hazard protection of civil infrastructure
Messervey, T.B. (D'Appolonia S.p.A., Genova, Italy); Zangani, D.; Casciati, S. Source: WIT Transactions on the Built Environment, v 108, p 21-30, 2009, Safety and Security Engineering III Language: English
17. Studies on methodological developments in structural damage identification
Srinivas, V. (Structural Engineering Research Centre (Council of Scientific and Industrial Research), CSIR Campus, TTTI(Post), Taramani, Chennai-600 113, India); Sasmal, Saptarshi; Ramanjaneyulu, K. Source: SDHM Structural Durability and Health Monitoring, v 5, n 2, p 133-160, 2009 Language: English
18. A Lamb-wave-based technique for damage detection in composite laminates
Ng, C.T. (Sch. of Eng., Univ. of Queensland, Brisbane, QLD, Australia); Veidt, M. Source: Smart Materials and Structures, v 18, n 7, p 074006 (12 pp.), July 2009
19. Tensile fatigue properties of fibre Bragg grating optical fibre sensors
Ang, J. (School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, GPO Box 2476V, Melbourne, Vic. 3001, Australia); Li, H.C.H.; Herszberg, I.; Bannister, M.K.; Mouritz, A.P. Source: International Journal of Fatigue, v 32, n 4, p 762-768, April 2010 Language: English
20. Progressive collapse of a two-story reinforced concrete frame with embedded smart aggregates
Laskar, A. (Dept. of Civil & Environ. Eng., Univ. of Houston, Houston, TX, USA); Haichang Gu; Mo, Y.L.; Gangbing Song Source: Smart Materials and Structures, v 18, n 7, p 075001 (10 pp.), July 2009
21. Evaluation of long-term exposure to pollutants by means of a dispersion model
Latini, G. (Dipt. di Energetica, Univ. Politec. delle Marche, Ancona, Italy); Passerini, G.; Principi, F. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 31-8, 2009
22. Temperature sensitivity assessment of vibration-based damage identification techniques
Serker, N.H.M. Kamrujjaman (Department of Urban and Civil Engineering, Ibaraki University, 4-12-1 NakaNarusawa, Hitachi, Ibaraki 316-0036, Japan); Wu, Zhishen Source: SDHM Structural Durability and Health Monitoring, v 5, n 2, p 87-107, 2009 Language: English
23. Fatigue crack growth modelling of aluminium alloy under constant and variable amplitude loadings
Abdullah, S. (Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia); Beden, S.M.; Ariffin, A.K.; Al-Asady, N.A. Source: SDHM Structural Durability and Health Monitoring, v 5, n 2, p 109-131, 2009 Language: English
24. A simple model for the evaluation of constitutive laws for the computer simulation of fatigue-driven delamination in composite materials
Galvanetto, Ugo (Department of Aeronautics, Imperial College London, South Kensington Campus, South Kensington SW7 2AZ, United Kingdom); Robinson, Paul; Cerioni, Agostino; Armas, Carlos Lopez Source: SDHM Structural Durability and Health Monitoring, v 5, n 2, p 161-189, 2009 Language: English
25. Precision of syndesmophyte volume measurement for ankylosing spondylitis: a phantom study using high resolution CT
Tan, S. (Clinical Center, Nat. Institutes of Health, Bethesda, MD, USA); Jianhua Yao; Yao, L.; Ward, M.M. Source: 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. EMBC 2009, p 3577-80, 2009

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1. Structural health monitoring of composites using integrated and flexible piezoelectric ultrasonic transducers
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2. Impedance-based structural health monitoring of a ceramic matrix composite
Gyekenyesi, A.L. (Ohio Aerosp. Inst., Cleveland, OH, USA); Martin, R.E.; Morscher, G.N.; Owen, R.B. Source: Journal of Intelligent Material Systems and Structures, v 20, n 7, p 875-82, May 2009
3. Ultra low-cost adaptations of electro-mechanical impedance technique for structural health monitoring
Bhalla, S. (Dept. of Civil Eng., Indian Inst. of Technol. Delhi, New Delhi, India); Gupta, A.; Bansal, S.; Garg, T. Source: Journal of Intelligent Material Systems and Structures, v 20, n 8, p 991-9, May 2009
4. Acoustic emission monitoring for detecting structural defects in vessels and offshore structures
Anastasopoulos, A. (Envirocoustics ABEE, Metamorphosis, Athens, Greece); Kourousis, D.; Botten, S.; Wang, G. Source: Ships and Offshore Structures, v 4, n 4, p 363-372, December 2009 Language:English
5. Initial performance of the lower deck of the Centre Street Bridge, Calgary
Shrive, P.L. (Dept. of Civil Eng., Univ. of Calgary, Calgary, AB, Canada); Brown, T.G.; Newhook, J.P.; Kroman, J.; Tadros, G.S.; Shrive, N.G. Source: Canadian Journal of Civil Engineering, v 36, n 1, p 50-62, Jan. 2009
6. Construction of a wireless sensor networking platform with vibration sensing and GPS positioning
Chau-Chung Song (Dept. of Aeronaut. Eng., Nat. Formosa Univ., Yunlin, Taiwan); Yin-Chieh Hsu; Chen-Fu Feng; Yu-Kai Chen Source: 2009 ICROS-SICE International Joint Conference. ICCAS-SICE 2009, p 5570-5, 2009
7. Development of guided wave simulator and application to sizing methodologies of pipe wall thinning
Kojima, F. (Grad. Sch. of Eng., Kobe Univ., Kobe, Japan); Tsubota, J.-i. Source: 2009 ICROS-SICE International Joint Conference. ICCAS-SICE 2009, p 2327-32, 2009
8. Condition monitoring and diagnosis for subsea control systems. A subsystem prototype
Altamiranda, E. (VetcoGray a GE Oil and Gas Business, Subsea Control Systems Engineering Department, Stavanger 4084, Norway); Kiaer, L.; Hu, X. Source: OCEANS '09 IEEE Bremen: Balancing Technology with Future Needs, 2009, OCEANS '09 IEEE Bremen: Balancing Technology with Future Needs Language:English
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10. Cross-layer fault tolerant data aggregation for improved network delay in healthcare management applications
Xiaojing Yuan (Univ. of Houston, Houston, TX, USA); Haoying Liu Source: 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. EMBC 2009, p 1683-6, 2009
11. From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors
Wahl, R.L. (Dept. of Radiol., Johns Hopkins Univ. Sch. of Med., Baltimore, MD, USA); Jacene, H.; Kasamon, Y.; Lodge, M.A. Source: Journal of Nuclear Medicine, v 50, Suppl.1, p 122-50S, May 2009

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1. Structural health monitoring using an array of spatially distributed sensors
Vasilievici, A. (Sensors & Wireless Lab. Bucharest, ACS Sensors & Wireless Lab., Bucharest, Romania); Costea, S. Source: Proceedings of the 2009 32nd International Semiconductor Conference. CAS 2009, p 521-4, 2009
2. Analysis on non-linear characteristics of bridge health monitoring based on time-delayed transfer entropy and mutual information
Zhou Jianting (Inst. of Civil Eng., Chongqing Jiaotong Univ., Chongqing, China); Yang Jianxi Source: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC, p 647-52, 2009
3. Capacitive MEMS energy harvesters for structural monitoring: design and fabrication
De Pasquale, G. (Mech. Dept., Politec. di Torino, Torino, Italy); Mian Wei; Soma, A.; Jing Wang Source: Proceedings of the 2009 32nd International Semiconductor Conference. CAS 2009, p 211-14, 2009
4. The combat-wireless health monitoring system
Burns, Maj Phillip G. (U.S. Army's School of Technology, Fort Gordon, GA, United States) Source: CrossTalk, v 22, n 11-12, p 4-9, November-December 2009 Language: English
5. Agent-based Web health care systems for real-time chronic disease
Yupeng Zhang (Res. Center of Ind. Technol., ChonBuk Nat. Univ., JeonJu, South Korea); Lee, M.; Gatton, T.M. Source: Proceedings of the 2009 IEEE Congress on Services. SERVICES 2009, p 14-21, 2009
6. Ubiquitous health monitoring system for multiple users using a ZigBee and wlan dual-network
Dae Cha, Yong (Broadcasting and Communications Fusion Program, Graduate School of Nano Technology Information Technology, and Design Technology Fusion Technology, Seoul National University of Technology, Seoul, Korea, Republic of); Yoon, Gilwon Source: Telemedicine and e-Health, v 15, n 9, p 891-897, November 1, 2009 Language: English
7. Exploring key factors in the choice of e-health using an asthma care mobile service model
Lin, Shu-Ping (Institute of Technology Management, Chung-Hua University, Hsin-Chu, Taiwan); Yang, Hung-Yu Source: Telemedicine and e-Health, v 15, n 9, p 884-890, November 1, 2009 Language: English
8. Validated caloric expenditure estimation using a single body-worn sensor
Lester, Jonathan (Computer Science and Engineering, University of Washington Seattle, Washington, DC, United States); Hartung, Carl; Pina, Laura; Libby, Ryan; Borriello, Gaetano; Duncan, Glen Source: ACM International Conference Proceeding Series, p 225-234, 2009, UbiComp'09 - Proceedings of the 11th ACM International Conference on Ubiquitous Computing Language: English
9. MagIC system. Advancements in the monitoring of cardiorespiratory function in active people by textile technology
Di Rienzo, M. (Biomed. Technol. Dept., Fondazione Don Carlo Gnocchi, Milan, Italy); Rizzo, F.; Meriggi, P.; Castiglioni, P.; Mazzoleni, P.; Parati, G.; Bordoni, B.; Brambilla, G.; Ferratini, M. Source: IEEE Engineering in Medicine and Biology Magazine, v 28, n 6, p 35-40, Nov.-Dec. 2009
10. Hot target inspection using a welded fibre acoustic wave piezoelectric sensor and a laser-ultrasonic mirror scanner
Chen Ciang Chia (Dept. of Aerosp. Eng., Chonbuk Nat. Univ., Jeonju, South Korea); Jung-Ryul Lee; He-Jin Shin Source: Measurement Science & Technology, v 20, n 12, p 127003 (8 pp.), Dec. 2009
11. Systematic review of telemedicine services for patients affected by chronic obstructive pulmonary disease (COPD)
Bartoli, Laura (Department of Management, Economics, and Industrial Engineering, Politecnico di Milano, 32 Piazz Leonardo da Vinci, Milan 20133, Italy); Zanaboni, Paolo; Masella, Cristina; Ursini, Niccoló Source: Telemedicine and e-Health, v 15, n 9, p 877-883, November 1, 2009 Language: English
12. IEEE Standard Criteria for Safety Systems for Nuclear Power Generating Stations
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13. Using accelerometers for physical actions recognition by a neural fuzzy network
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Ref

1. Investigation concerning structural health monitoring of an instrumented cable-stayed bridge

Ko, J.M. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong); Ni, Y.Q.; Zhou, H.F.; Wang, J.Y.; Zhou, X.T. Source: Structure and Infrastructure Engineering, v 5, n 6, p 497-513, December 2009

2. Recent enhancements to the SmartBrick structural health monitoring platform

Harms, T. (Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA); Bastianini, F.; Sedigh, S. Source: Proceedings of the 2009 12th International IEEE Conference on Intelligent Transportation Systems (ITSC), p 6 pp., 2009

3. Optical fiber loop-sensors for structural health monitoring of composites

Nguyen, Nguyen Q. (Mechanical and Aerospace Engineering Department, Composite Materials and Mechanics Laboratory, Polytechnic Institute, Brooklyn, NY 11201, United States); Gupta, Nikhil Source: Materials Research Society Symposium Proceedings, v 1129, p 317-324, 2009, Materials Research Society Symposium Proceedings - Materials and Devices for Smart Systems III

4. Structural health monitoring and structural identification for long-span bridges

Grimmelsman, K.A. (Dept. of Civil Eng., Univ. of Arkansas, Fayetteville, AR, USA) Source: Proceedings of the 2009 12th International IEEE Conference on Intelligent Transportation Systems (ITSC), p 6 pp., 2009

5. Conformal passive sensors for wireless structural health monitoring

Balasubramaniam, Sharavanan (Department of Plastics Engineering, University of Massachusetts, Lowell, MA 01854, United States); Park, Jung-Rae; Mistry, Tarisha; Angkawisittpan, Niwat; Akyurtlu, Alkim; Rao, Tenneti; Nagarajan, Ramaswamy Source: Materials Research Society Symposium Proceedings, v 1129, p 341-348, 2009, Materials Research Society Symposium Proceedings - Materials and Devices for Smart Systems III

6. A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures

Jahanshahi, Mohammad R. (Department of Civil and Environmental Engineering, University of Southern California Los Angeles, California, United States); Kelly, Jonathan S.; Masri, Sami F.; Sukhatme, Gaurav S. Source: Structure and Infrastructure Engineering, v 5, n 6, p 455-486, December 2009

7. Continuous monitoring of the Øresund Bridge: System and data analysis

Peeters, Bart (LMS International, Interleuvenlaan 68, B-3001 Leuven, Belgium); Couvreur, G.; Razinkov, O.; Kündig, C.; van der Auweraer, H.; de Roeck, G. Source: Structure and Infrastructure Engineering, v 5, n 5, p 395-405, October 2009

8. Portable embedded medical box implementation for health monitoring applications in avionic environments

Anastasopoulos, Konstantinos (Electronic Computing System department, Technological Educational Institute of Piraeus, Athens, Greece); Kouros, Pavlos; Marinos, Dimitrios; Aidinis, Konstantinos; Schmitt, Nikolaus; Klaue, Jirka; Pistner, Thomas Source: 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009, p 17-21, 2009, 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009

9. Necessity of the bridge health monitoring system to mitigate natural and man-made disasters

Chang, Sung-Pil (Seoul National University, Seoul, Korea, Republic of); Yee, Jaeyeol; Lee, Jungwhee Source: Structure and Infrastructure Engineering, v 5, n 3, p 173-197, June 2009

10. Research on monitoring technology of bolt tightness degree based on wavelet analysis

Peng-yu Bao (Dept. of Autom. Sci. & Electr. Eng., BeiHang Univ., Beijing, China); Mei Yuan; Zhong Fu Source: Proceedings of the 2009 9th International Conference on Electronic Measurement & Instruments (ICEMI 2009), p 4/329-33, 2009

11. Sensor system selection for prognostics and health monitoring

Cheng, Shunfeng (Proanostics and Health Manaqement Lab); Azarian, Michael; Pechf, Michael Source: 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008, v 3, n PART B, p 1383-1389, 2009, 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008

12. Hybrid health monitoring of prestressed concrete girder bridges by sequential vibration-impedance approaches

Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University, Busan, Korea, Republic of); Park, Jae-Hyung; Hong, Dong-Soo; Park, Woo-Sun Source: Engineering Structures, v 32, n 1, p 115-128, January 2010

13. Return on experience on tucson pipe risk management system

Paul, Acosta (Tucson Water Authority, Tucson, AZ, United States); Britt, Klein; Vincent, Morisseau; Benoit, Kroely Source: Pipelines 2009: Infrastructure's Hidden Assets - Proceedings of the Pipelines 2009 Conference, v 360, p 1253-1262, 2009, Pipelines 2009: Infrastructure's Hidden Assets - Proceedings of the Pipelines 2009 Conference

14. Study on system of fiber optic strain signal sampling and processing based on LabVIEW

Lang Li-ying (Hebei Univ. of Eng., Handan, China); Shen Lan Source: Proceedings of the 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), p 4 pp., 2009

15. An event-driven context model in elderly health monitoring

Yuanyuan Cao (Tsinghua Nat. Lab. for Inf. Sci. & Technol. (TNList), Tsinghua Univ., Beijing, China); Linmi Tao; Guangyou Xu Source: 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with The UIC 2009 and ATC 2009 Conferences, p 120-4, 2009

16. Acoustic-wave-mode separation using a distributed Bragg grating sensor

Rajic, N. (Defence Science and Technology Organisation, 506 Lorimer Street, Fishermans Bend, VIC 3207, Australia); Davis, C.; Thomson, A. Source: Smart Materials and Structures, v 18, n 12, 2009

17. Research on signal processing for bridge health monitoring

Jing Chen (Sch. of Autom., Wuhan Univ. of Technol. Univ., Wuhan, China); Chun Wan; Chun Xiao; Liqiao Li Source: Proceedings of the 2009 9th International Conference on Electronic Measurement & Instruments (ICEMI 2009), p 4-338-42, 2009

18. Mobile health monitoring and smart sensors: A product line approach

Laguna, Miguel A. (GIRO, University of Valladolid, 47011 Valladolid, Spain); Finat, Javier; González, José A. Source: Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to Increase Digital Citizenship, EATIS '09, 2009, Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to Increase Digital Citizenship, EATIS '09

19. Two-dimensional periodic actuators for frequency-based beam steering

Romanoni, M. (Dipartimento di Meccanica, Politecnico di Torino, Torino, Italy); Gonella, S.; Apetre, N.; Ruzzene, M. Source: Smart Materials and Structures, v 18, n 12, 2009

20. Study on genetic algorithm used in damage identification

Chong Du (Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut.&Astronaut., Beijing, China); Mei Yuan; Qiang You Source: Proceedings of the 2009 9th International Conference on Electronic Measurement & Instruments (ICEMI 2009), p 1/404-7, 2009

21. Statistical novelty detection within the Yeongjong suspension bridge under environmental and operational variations

Oh, Chang Kook (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of); Sohn, Hoon; Bae, In-Hwan Source: Smart Materials and Structures, v 18, n 12, 2009

22. 3D integration technologies for ceramic substrates in a SHM application

Hildebrandt, Samuel (Dresden University of Technology, Electronics Packaging Laboratory, 01062 Dresden, Germany); Wolter, Klaus-Jürgen Source: 2009 European Microelectronics and Packaging Conference, EMPC 2009, 2009, 2009 European Microelectronics and Packaging Conference, EMPC 2009

23. Traffic-aware relay node deployment for data collection in wireless sensor networks

Wang, Feng (School of Computing Science, Simon Fraser University, BC, Canada); Wang, Dan; Liu, Jiangchuan Source: 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009, 2009, 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009

24. Structural identification using a low-cost search method

Fonda, J.W. (Electr. Eng., Univ. of Missouri-Rolla, Rolla, MO, USA); Watkins, S.E. Source: Proceedings of the 2009 12th International IEEE Conference on Intelligent Transportation Systems (ITSC), p 5 pp., 2009

25. Carbon nanofiber-network sensor films for strain measurement in composites

Nguyen, Nguyen Quang (Composite Materials and Mechanics Laboratory, Mechanical and Aerospace Engineering Department, Polytechnic Institute of New York University, Brooklyn, NY 11201, United States); Lee, Sangyoon; Gupta, Nikhil Source: Materials Research Society Symposium Proceedings, v 1129, p 53-59, 2009, Materials Research Society Symposium Proceedings - Materials and Devices for Smart Systems III

　

Mobile Bridge Health Monitoring Lab

"Among the equipment in the lab is a laser Doppler vibrometer, which measures the speed and displacement of a vibrating structure; various strain gauges that assess the stress, strain and loading on a structure; and an impulse hammer that measures how much force is applied in tests under controlled conditions. Also available are accelerometers, linear variable differential transducers, and a portable weigh-in-motion system. Some of the equipment is wireless, so students can be sitting here in a computer lab on campus and continually monitor the stress levels on a bridge almost anywhere,”


http://pda.physorg.com/_news178991175.html

SHM ref

1. Development of a baseline for structural health monitoring for a curved post-tensioned concrete box-girder bridge

Liu, Chengyin (Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, United States); DeWolf, John T.; Kim, Jeong-Ho Source: Engineering Structures, v 31, n 12, p 3107-3115, December 2009

2. Wireless sensor networks in structural health monitoring based on ZigBee technology

Xiang-dong Jiang (Dept. of Commun. Eng., Xiamen Univ., Xiamen, China); Yu-liang Tang; Ying Lei Source: 2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication (2009 ASID), p 4 pp., 2009

3. A study and application of HHT in vibration signal analysis of bridge structural health monitoring system

Ding Pei (Comput. & Inf. Eng. Coll., Beijing Technol. & Bus. Univ., Beijing, China); Yu Chongchong; He Xiaoyu Source: Proceedings of the 2009 2nd International Congress on Image and Signal Processing (CISP), p 5 pp., 2009

4. A structural health monitoring system using wireless sensor network

Jianjun Niu (Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China); Zhidong Deng; Fengguang Zhou; Zongsheng Cao; Zhanqing Liu; Fangzhou Zhu Source: Proceedings of the 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), p 4 pp., 2009

5. Multi-agent system design and evaluation for collaborative wireless sensor network in large structure health monitoring

Wu, Jian (The Aeronautic Key Laboratory for Smart Materials and Structures, Nanjing University of Aeronautics and Astronautics, 29# Yu Dao Street, Nanjing, 210016, China); Yuan, Shenfang; Ji, Sai; Zhou, Genyuan; Wang, Yang; Wang, Zilong Source: Expert Systems with Applications, v 37, n 3, p 2028-2036, March 15, 2010

6. Evaluation and calibration of FBG-based relative humidity sensor designed for structural health monitoring

Venugopalan, T. (School of Engineering and Mathematical Sciences, City University London, Northampton Square, London EC1V 0HB, United Kingdom); Yeo, T.L.; Basedau, F.; Henke, A.S.; Sun, T.; Grattan, K.T.V.; Habel, W. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7503, 2009, 20th International Conference on Optical Fibre Sensors

7. A multi-agent architecture of health monitoring system for long-span bridge

He, X.B. (Sch. of Civil Eng. & Archit., Chongqing Jiaotong Univ., Chongqing, China); Ning, J.C. Source: Proceedings of the 2009 International Conference on Management and Service Science (MASS), p 4 pp., 2009

8. Utilization of wireless sensor network for health monitoring in home environment

Zakrzewski, Mari (Department of Electronics, Tampere University of Technology (TUT), Finland); Junnila, Sakari; Vehkaoja, Antti; Kailanto, Harri; Vainio, Antti-Matti; Defee, Irek; Lekkala, Jukka; Vanhala, Jukka; Hyttinen, Jari Source: Proceedings - 2009 IEEE International Symposium on Industrial Embedded Systems, SIES 2009, p 132-135, 2009, Proceedings - 2009 IEEE International Symposium on Industrial Embedded Systems, SIES 2009

9. Research on prognostic and health monitoring system for large complex equipment

Zhang, Jinyu (Xi'an Research Institute of High-tech, Xi'an, China); Huang, Xianxiang; Cai, Wei Source: Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009, p 3-8, 2009, Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009

10. Remote wireless health monitoring systems

Priya, B. (Faculty of Engineering, University Industry Selangor, Malaysia); Rajendran, S.; Bala, R.; Gobbi, R. Source: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009, p 383-388, 2009, 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009

11. FBG application in bridge health monitoring system of Wuhan Yangtze River 2nd Bridge

Liu, Jun (Fiber Optic Sensing Technology Research Center, WuHan University of Technology, 430070 Wuhan, China) Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7503, 2009, 20th International Conference on Optical Fibre Sensors

12. Data disposal and analysis with least squares collocation in tall building health monitoring

Xing-hai Dang (Civil Eng. Sch., Lanzhou Univ. of Technol., Lanzhou, China); Yu-ming Wei; Jian-yun Zhao; Yu-li Yang Source: Proceedings of the 2009 International Conference on Management and Service Science (MASS), p 4 pp., 2009

13. Enhanced SEA-MAC: An efficient MAC protocol for wireless sensor networks for environmental monitoring applications

Shukur, Marwan Ihsan (Universiti Teknologi PETRONAS, Department of Electrical and Electronic Engineering, Tronoh, 31750, Perak, Malaysia); Yap, Vooi Voon Source: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009, p 182-185, 2009, 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009

14. Parametric identification of structures with nonlinearities using global and substructure approaches in the time domain

Kumar, R. Kishore (Machine Design Section, Department of Mechanical Engineering, IIT Madras, India); Shankar, K. Source: Advances in Structural Engineering, v 12, n 2, p 195-210, April 2009

15. Design and validation of wireless dynamic testing system for bridge based on the 941B type vibration sensor

Zhonglong, Li (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China); Lianzhen, Zhang; Xiaodi, Zhu; Hongjiang, Gu; Zitian, Jiang Source: Proceedings of the 9th International Conference of Chinese Transportation Professionals, ICCTP 2009: Critical Issues in Transportation System Planning, Development, and Management, v 358, p 211-218, 2009, Proceedings of the 9th International Conference of Chinese Transportation Professionals, ICCTP 2009: Critical Issues in Transportation System Planning, Development, and Management

16. Health monitoring of engine blades by using an in-line fiber-optic F-P strain sensor based on hollow-core photonic crystal fiber

Rao, Yunjiang (Key Laboratory of Optoelectronic Technology and Systems (Ministry of Education), Chongqing University, Chongqing 400044, China); Fan, Yanen; Li, Hong; Zhu, Tao Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7503, 2009, 20th International Conference on Optical Fibre Sensors

17. Monitoring the effects of impact damages on modal parameters in carbon fiber entangled sandwich beams

Shahdin, Amir (Université de Toulouse, ISAE, DMSM, Campus Supaero, 10 av. Edouard Belin BP54032, 31055 Toulouse, France); Mezeix, Laurent; Bouvet, Christophe; Morlier, Joseph; Gourinat, Yves Source: Engineering Structures, v 31, n 12, p 2833-2841, December 2009

18. Damage diagnosis for wind turbine blades based on the shifting distance of characteristic frequency

Zhiqiang Wang (Sch. of Mech. & Electron. Eng., Tianjin Polytech. Univ., Tianjin, China); Yuxiu Xu; Yuanying Mei Source: Proceedings of the 2009 2nd International Congress on Image and Signal Processing (CISP), p 3 pp., 2009

19. Design and study of fiber optic strain demodulation system based on LabVIEW

Lang, Li-Ying (Hebei University of Engineering, Handan, Hebei province, 056038, China); Lan, Shen; Zhao, Jian-Jiao Source: 2009 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2009, v 1, p 288-291, 2009, 2009 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2009

20. Measurement of distributed strain and load identification using 1500 mm gauge length FBG and optical frequency domain reflectometry

Igawa, Hirotaka (Japan Aerospace Exploration Agency, 6-13-1 Osawa, Mitaka, Tokyo 181-0015, Japan); Murayama, Hideaki; Nakamura, Toshiya; Yamaguchi, Isao; Kageyama, Kazuro; Uzawa, Kiyoshi; Wada, Daichi; Ohsawa, Isamu; Kanai, Makoto; Omichi, Koji Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7503, 2009, 20th International Conference on Optical Fibre Sensors

21. Application of FBG sensors in strengthening and maintenance monitoring of old bridges

Yue, Li-Na (Key Laboratory of Fiber, Wuhan University of Technology, Ministry of Education, Wuhan, 430070, China); Huang, Jun; Yang, Yan Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7503, 2009, 20th International Conference on Optical Fibre Sensors

22. A decentralized Gauss-Seidel approach for in-network sparse signal recovery

Ling, Qing (Department of ECE, Michigan Technological University, Houghton, MI, United States); Tian, Zhi Source: 2009 12th International Conference on Information Fusion, FUSION 2009, p 380-387, 2009, 2009 12th International Conference on Information Fusion, FUSION 2009

23. Photonic skins for optical sensing: Highlights of the PHOSFOS Project

Berghmans, F. (Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium); Thienpont, H.; Van Daele, P.; Dubruel, P.; Urbanczyk, W.; Rayss, J.; Webb, D.J.; Vlekken, J.; Kalli, K.; Sugden, K. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7503, 2009, 20th International Conference on Optical Fibre Sensors

24. Benchmarking the response of Bragg gratings written in micro-structured and bow tie fiber embedded in composites

Luyckx, G. (Dept of Materials Science and Eng., Ghent University, 41 St-Pietersnieuwstr, Gent 9000, Belgium); Voet, E.; Geernaert, T.; Chah, K.; Nasilowski, T.; De Waele, W.; Becker, M.; Bartelt, H.; Urbanczyk, W.; Wojcik, J.; Degrieck, J.; Berghmans, F.; Thienpont, H. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7503, 2009, 20th International Conference on Optical Fibre Sensors

25. Comprehensive evaluation on the durability of concrete structure base on uncertain measurements

Chang-long, Wang (School of Civil Engineering, Hebei University of Engineering, Handan, China) Source: Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009, p 517-520, 2009, Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009

SHM ref

1. A mobile host approach for wireless powering and interrogation of structural health monitoring sensor networks

Mascarenas, David (Sullivan International Group, SAIC, San Diego, CA 92108, United States); Flynn, Eric; Farrar, Charles; Park, Gyuhae; Todd, Michael Source: IEEE Sensors Journal, v 9, n 12, p 1719-1726, December 2009

2. Polymer optical fiber sensors for distributed strain measurement and application in structural health monitoring

Liehr, Sascha (BAM Federal Institute for Materials Research and Testing, Unter den Eichen 87, D-12205 Berlin, Germany); Lenke, Philipp; Wendt, Mario; Krebber, Katerina; Seeger, Monika; Thiele, Elke; Metschies, Heike; Gebreselassie, Berhane; Munich, Johannes Christian Source: IEEE Sensors Journal, v 9, n 11, p 1330-1338, November 2009

3. Statistical pattern recognition for structural health monitoring using time series modeling: theory and experimental verifications

Gul, M. (Dept. of Civil, Environ. & Constr. Eng., Univ. of Central Florida, Orlando, FL, USA); Catbas, F.N. Source: Mechanical Systems and Signal Processing, v 23, n 7, p 2192-204, Oct. 2009

4. Energy harvesting wireless sensors and networked timing synchronization for aircraft structural health monitoring

Arms, S.W. (MicroStrain Inc., Williston, VT, United States); Galbreath, J.H.; Townsend, C.P.; Churchill, D.L.; Corneau, B.; Ketcham, R.P.; Phan, Nam Source: Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009, p 16-20, 2009, Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009

5. Bio-inspired sensor skins for structural health monitoring

Tata, Uday (Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, 500 West First Street, Arlington, TX 76019, United States); Deshmukh, S.; Chiao, J.C.; Carter, Ronald; Huang, H. Source: Smart Materials and Structures, v 18, n 10, 2009

6. Fibre-optic structural health monitoring in the energy industry

Ecke, Wolfgang (IPHT - Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany); Willsch, Reinhardt; Bartelt, Hartmut Source: 2009 14th OptoElectronics and Communications Conference, OECC 2009, 2009, 2009 14th OptoElectronics and Communications Conference, OECC 2009

7. Design and evaluation of optical fibre sensors in civil engineering applications for structural health monitoring

Grattan, Kenneth T. V. (School of Engineering and Mathematical Sciences, City University London, Northampton Square, London, EC1V 0HB, United Kingdom); Kerrouche, Abdelfateh; Sun, Tong; Grattan, S.K.T.; Taylor, Susan E.; Basheer, P.A. Mohammed Source: 2009 14th OptoElectronics and Communications Conference, OECC 2009, 2009, 2009 14th OptoElectronics and Communications Conference, OECC 2009

8. Feasibility Study on a new energy harvesting electromagnetic device using aerodynamic instability

Jung, Hyung-Jo (Civil and Environmental Engineering Department, KAIST, Daejeon 305-701, Korea, Republic of); Lee, Seung-Woo; Jang, Dong-Doo Source: IEEE Transactions on Magnetics, v 45, n 10, p 4376-4379, October 2009

9. The application of 1-3 cement-based piezoelectric transducers in active and passive health monitoring for concrete structures

Qin, Lei (School of Civil and Architectural Engineering, University of Jinan, Jinan 250022, China); Huang, Shifeng; Cheng, Xin; Lu, Youyuan; Li, Zongjin Source: Smart Materials and Structures, v 18, n 9, 2009

10. Multimodal platform for communication, training and health monitoring at home

Ruminski, J. (Department of Biomedical Engineering, Gdansk University of Technology, Gdansk, Poland); Kocejko, T.; Bujnowski, A.; Wtorek, J. Source: 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009, 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009

11. An experimental low-cost, low-data-rate rapid structural assessment network

Chin, Jren-Chit (Purdue University, West Lafayette, IN 47907, United States); Rautenberg, Jeffrey M.; Ma, Chris Y. T.; Pujol, Santiago; Yau, David K. Y. Source: IEEE Sensors Journal, v 9, n 11, p 1361-1369, November 2009

12. Realising management and composition of self-managed cells in pervasive healthcare

Schaeffer-Filho, Alberto (Department of Computing, Imperial College London, 180 Queen's Gate, SW7 2AZ, London, United Kingdom); Lupu, Emil; Sloman, Morris Source: 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009, 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009

13. Designing for complex innovations in health care: Design theory and realist evaluation combined

Keller, Christina (Uppsala University, Jönköping International Business School, P.O. Box 513, Uppsala, SE-751 20, Sweden); Lindblad, Staffan; Gäre, Klas; Edenius, Mats Source: Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, DESRIST '09, 2009, Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, DESRIST '09

14. A novel time-domain structural parametric identification methodology based on the equivalency of neural networks and ARMA model

Xu, Bin (College of Civil Engineering, Hunan University, Changsha, Hunan 410082, China); Gong, Ansu; He, Jia; Masri, Sami F. Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5754 LNCS, p 888-897, 2009, Emerging Intelligent Computing Technology and Applications - 5th International Conference on Intelligent Computing, ICIC 2009, Proceedings

15. Effects of noise on transfer entropy estimation for damage detection

Overbey, L.A. (Dept. of Struct. Eng., Univ. of California, La Jolla, CA, USA); Todd, M.D. Source: Mechanical Systems and Signal Processing, v 23, n 7, p 2178-91, Oct. 2009

16. A novel routing metric for environmentally-powered sensors with hybrid energy storage systems

Kailas, Aravind (School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, United States); Ingram, Mary Ann; Ying, Zhang Source: Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009, p 42-46, 2009, Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009

17. The Berkeley tricorder: Ambulatory health monitoring

Naima, Reza (University of California, Berkeley, Berkeley Institute of Design, 281 Hearst Memorial Mining Building #1764, Berkeley, CA 94720, United States); Canny, John Source: Proceedings - 2009 6th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2009, p 53-58, 2009, Proceedings - 2009 6th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2009

18. Distance similarity matrix using ensemble of dimensional data reduction techniques: vibration and aerocoustic case studies

Lopez, I. (Dept. of Mech. & Aeronaut. Eng., Univ. of California, Davis, CA, USA); Sarigul-Klijn, N. Source: Mechanical Systems and Signal Processing, v 23, n 7, p 2287-300, Oct. 2009

19. Piezoelectric active-sensor diagnostics and validation using instantaneous baseline data

Overly, Timothy G. (Los Alamos National Laboratory, Los Alamos, NM 87545, United States); Park, Gyuhae; Farinholt, Kevin M.; Farrar, Charles R. Source: IEEE Sensors Journal, v 9, n 11, p 1414-1421, November 2009

20. Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) - Survey and challenges

Seah, Winston K. G. (Networking Protocols Department, Institute for Infocomm Research, Singapore, Singapore); Zhi, Ang Eu; Tan, Hwee-Pink Source: Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009, p 1-5, 2009, Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009

21. Structural finite element model updating using transfer function data

Esfandiari, A. (Amirkabir University of Technology, 424, Hafez Ave, Tehran, Iran); Bakhtiari-Nejad, F.; Sanayei, M.; Rahai, A. Source: Computers and Structures, v 88, n 1-2, p 54-64, January 2010

22. Prediction and management in energy harvested wireless sensor nodes

Piorno, Joaquín Recas (DACYA, Complutense University of Madrid, Spain); Bergonzini, Carlo; Atienza, David; Rosing, Tajana Simunic Source: Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009, p 6-10, 2009, Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009

23. Unsupervised structure damage classification based on the data clustering and artificial immune pattern recognition

Chen, Bo (Department of Mechanical Engineering - Engineering Mechanics, Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI, United States); Zang, Chuanzhi Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5666 LNCS, p 206-219, 2009, Artificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings

24. Flexible home care automation: Adapting to the personal and evolving needs and situations of the patient

Eslami, Mohammad Zarifi (Information Systems Group, University of Twente, Enschede, Netherlands) Source: 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009, 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009

25. Corrosion-technical properties of high-strength stainless steels for the application in prestressed concrete structures

Wu, Y. (VSL Schweiz AG, Industriestr. 14, 4553 Subingen, Switzerland); Nürnberger, U. Source: Materials and Corrosion, v 60, n 10, p 771-780, October 2009

SHM wins in science and technology competition.

http://www.macaudailytimes.com.mo/macau/6013-wins-big-science-and-technology-competition.html

One entry “Ambient influences on structural health monitoring using Bayesian probabilistic approach”, from the Department of Civil and Environmental Engineering.

12 min webcast on NI SHM

https://admin.na3.acrobat.com/_a56821929/p22158130/

The Future of SHM In China and India

According to The World Bank, by 2015, half of the world’s new building construction will take place in China and India. Because most large structures located in countries such as the United States were built before the development of advanced monitoring systems, the opportunity is now available to monitor these buildings and perform research that will ultimately help improve the safety of future buildings and reduce the number of lives lost from catastrophic events.

Test bed for SHM technology in China

In 2004, the China Earthquake Administration (CEA), the governmental body managing the country’s earthquake preparedness and disaster mitigation, selected seven newly constructed megastructures as the test bed for structural health monitoring (SHM) technology. These landmark structures include the 2008 Summer Olympic venues in Beijing (including both the Beijing National Stadium and the Beijing National Aquatics Center), the 104-story World Trade Center in Shanghai, the 66-story Park Hyatt Hotel complex in Beijing, the 240 m concrete arch dam in Ertan, the 8266 m cable-stayed bridge in Shantou, and the base-isolated CEA data center in Beijing.

Performing Structural Health Monitoring of the 2008 Olympic Venues Using NI LabVIEW and CompactRIO

http://sine.ni.com/cs/app/doc/p/id/cs-11279

http://sine.ni.com/nips/cds/view/p/lang/en/nid/206817

http://zone.ni.com/wv/app/doc/p/id/wv-1325

1.5 min NI video

http://www.ni.com/structural_health_monitoring/

Bridge Health Monitoring: Reality

"When heavy trucks rumble across the Burlington-Bristol Bridge, new sensors detect the stresses they put on the 2,300-foot span and instantly transmit the information to computers in Philadelphia.
Drexel and its partner, the Burlington County Bridge Commission, plan to use the system continuously to help the agency better allocate its resources for bridge maintenance.
In Minnesota, for example, engineers are analyzing data from hundreds of sensors on the new Interstate 35 bridge erected last year in Minneapolis to replace the span that collapsed in August 2007, killing 13 people. Yet one challenge in monitoring long-standing bridges is understanding stresses that are inherent in the structure, according to French. She pointed out that one cause of the I-35 collapse was that its gusset plates were too thin - a design error committed a half-century ago and not necessarily detectable if sensors had been attached.
Others are exploring wireless sensors, which were used in a pilot project on the Golden Gate Bridge."




http://www.philly.com/inquirer/local/20091116_Bridge_sensors_send_stress_data_to_Drexel_researchers.html

Review

1. Fundamental modeling issues on benchmark structure for structural health monitoring
Li HuaJun (Dept. of Ocean Eng., Ocean Univ. of China, Qingdao, China); Zhang Min; Wang JunRong; James, H.S.-L. Source: Science in China Series E: Technological Sciences, v 52, n 7, p 1999-2008, July 2009
2. A mobile host approach for wireless powering and interrogation of structural health monitoring sensor networks
Mascarenas, D. (Sullivan Int. Group, SAIC, San Diego, CA, USA); Flynn, E.; Farrar, C.; Park, G.; Todd, M. Source: IEEE Sensors Journal, v 9, n 12, p 1719-26, Dec. 2009
3. Localized structural health monitoring using energy-efficient wireless sensor networks
Qing Ling (Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI, USA); Zhi Tian; Yuejun Yin; Yue Li Source: IEEE Sensors Journal, v 9, n 11, p 1596-604, Nov. 2009
4. Autonomous sensor nodes for aircraft structural health monitoring
Becker, T. (EADS Innovation Works, Munich, Germany); Kluge, M.; Schalk, J.; Tiplady, K.; Paget, C.; Hilleringmann, U.; Otterpohl, T. Source: IEEE Sensors Journal, v 9, n 11, p 1589-95, Nov. 2009
5. Statistical classifiers for structural health monitoring
Tschope, C. (Fraunhofer-Inst. fur Zerstorungsfreie Prufverfahren, Dresden, Germany); Wolff, M. Source: IEEE Sensors Journal, v 9, n 11, p 1567-76, Nov. 2009
6. Design and Experiment of PZT Network-based Structural Health Monitoring Scanning System
Lei, Qiu (The Aeronautic Key Lab for Smart Material and Structure, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China); Shenfang, Yuan; Qiang, Wang; Yajie, Sun; Weiwei, Yang Source: Chinese Journal of Aeronautics, v 22, n 5, p 505-512, October 2009
7. Structural health monitoring for bell 407 tail boom
Purekar, Ashish (Techno-Sciences, Inc., Beltsville, MD, United States); Kothari, Kunal; Choi, Young-Tai; Wereley, Norman M.; Wilson, Henry; Bordick, Nathaniel Source: Annual Forum Proceedings - AHS International, v 2, p 946-954, 2009, 65th Annual Forum Proceedings - AHS International
8. Time reversal technique for health monitoring of metallic structure using Lamb waves
Gangadharan, R. (Department of Aerospace Engineering, Indian Institute of Science, Bangalore, 560 012, India); Murthy, C.R.L.; Gopalakrishnan, S.; Bhat, M.R. Source: Ultrasonics, v 49, n 8, p 696-705, December 2009
9. Detection of delamination damage in a composite laminate beam utilising the principle of strain compatibility
Wildy, Ben (School of Mechanical Engineering, University of Adelaide, SA 5005, Australia); Cazzolato, Andrei; Kotousov, Stuart Source: Key Engineering Materials, v 417-418, p 269-272, 2010
10. Health Monitoring System (HMS) for structural assessment
Campos e Matos, J. (Civil Eng. Dept., Univ. of Porto, Porto, Portugal); Garcia, O.; Henriques, A.A.; Casas, J.R.; Vehi, J. Source: Smart Structures and Systems, v 5, n 3, p 223-40, May 2009
11. Strain distribution monitoring wireless sensor network design and its evaluation research on aircraft wingbox
Wu, Jian (Aeronautic Key Laboratory for Smart Materials and Structures, Nanjing University of Aeronautics and Astronautics, 29# Yu Dao Street, Nanjing, 210016, China); Yuan, Shenfang; Shang, Yin; Wang, Zilong Source: International Journal of Applied Electromagnetics and Mechanics, v 31, n 1, p 17-28, 2009
12. Virtual sensors for diagnosis and prognosis purposes in the context of elastic mechanical structures
Heidtmann, F. (Dynamics & Control, Eng. Fac., Univ. of Duisburg-Essen, Duisburg, Germany); Soffker, D. Source: IEEE Sensors Journal, v 9, n 11, p 1577-88, Nov. 2009
13. Experimental study on strain and deformation monitoring of reinforced concrete structures using PPP-BOTDA
Guo Tong (Key Lab. of R.C. & P.C. Struct. of Minist. of Educ., Southeast Univ., Nanjing, China); Li Ai-Qun; Song Yong-Sheng; Zhang Biao; Liu Yang; Yu NingSheng Source: Science in China Series E: Technological Sciences, v 52, n 10, p 2859-68, Oct. 2009
14. A novel configuration-driven data mining framework for health and usage monitoring systems
Al-Kateb, Mohammed (Department of Computer Science, University of Vermont, Burlington VT 05405, United States); Joshi, Pradnya; Imadabathuni, Mahindra; Bechhoefer, Eric; He, David Source: Annual Forum Proceedings - AHS International, v 2, p 1680-1692, 2009, 65th Annual Forum Proceedings - AHS International
15. WIVA: WSN monitoring framework based on 3D visualization and augmented reality in mobile devices
Koo, Bonhyun (Convergence Lab, Digital MediaandCommunications RandD Center, Samsung Electronics, 416, Maetan-3dong, Yeongtong-gu, Suswon-si, Gyeonggi-do, Dong Suwon 442-600, Korea, Republic of); Choi, Hyohyun; Shon, Taeshik Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5597 LNCS, p 158-165, 2009, Ambient Assistive Health and Wellness Management in the Heart of the City - 7th International Conference on Smart Homes and Health Telematics, ICOST 2009, Proceedings
16. Open systems capabilities and experience with the integrated vehicle health management system
Tayloe, Shawn (Goodrich Corporation, Vergennes, VT, United States); Flynn, Tim; Isom, Joshua Source: Annual Forum Proceedings - AHS International, v 2, p 1701-1708, 2009, 65th Annual Forum Proceedings - AHS International
17. Simultaneous edge debonding monitoring and repair of dynamically loaded concrete structures strengthened with smart composite materials
Providakis, C.P. (Department of Applied Science, Technical University of Crete, GR-73100 Chania, Greece) Source: Key Engineering Materials, v 417-418, p 33-36, 2010
18. Editorial special issue on sensors systems for structural health monitoring
Mukhopadhyay, Subhas Chandra (Massey University, School of Engineering and Advanced Technology, Palmerston North 5301, New Zealand); Chase, J. Geoffrey; Meyendorf, Norbert Source: IEEE Sensors Journal, v 9, n 11, p 1319-1321, November 2009
19. Design of an optical fibre sensor patch for longitudinal strain measurement in structures
Ramos, C.A. (Inst. Super. de Eng. do Porto (ISEP), Porto, Portugal); de Oliveira, R.; Marques, A.T. Source: Materials & Design, v 30, n 7, p 2323-31, Aug. 2009
20. CBM fundamental research at the university of south carolina: A systematic approach to U.S. army rotorcraft CBM and the resulting tangible benefits
Blechertas, Vytautas (Condition-Based Maintenance Center, Department of Mechanical Engineering, University of South Carolina, Columbia, SC, United States); Bayoumi, Abdel; Goodman, Nicholas; Shah, Ronak; Shin, Yong-June Source: American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009, p 95-114, 2008, American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009
21. Signal processing on Brillouin scattering based distributed fibre sensors
Xiao, Shang-Hui (Dept. of Physics and Electron. Engineering, Yibin University, Sichuan, 644007, China); Li, Li Source: 2009 Symposium on Photonics and Optoelectronics, SOPO 2009, 2009, 2009 Symposium on Photonics and Optoelectronics, SOPO 2009
22. Title block: Reliability centered maintenance analysis of the UH-60 drive system
Lawler, Jason (Cargo and Special Projects Team Lead, U.S. Army AMRDEC Engineering Directorate, Redstone Arsenal, AL, United States); Potts, Lee; Hurst, Ellis Source: American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009, p 33-38, 2008, American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009
23. Cost effective implementation of HUMS, AME/ALE, and CBM+ through multi-platform collaboration on open source development
Maley, Scott (Program Office Automated Logistics Environment (ALE), Leads Naval Air Systems Command, PMA-275 / V-22, Patuxent River MD, United States); Cole, Dwayne; Davis, Mark; Stonebraker, Marc Source: Annual Forum Proceedings - AHS International, v 2, p 1709-1719, 2009, 65th Annual Forum Proceedings - AHS International
24. Home health telemonitoring system based on data mining
Jiang, Xianhai (School of Mechanical and Automotive Engineering, South China University of Technology (SCUT), Guangzhou 510640, China); Xie, Cunxi Source: Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009, v 2, p 431-434, 2009, Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009
25. Design of processing and display system for intelligent structure characteristic data based on LabVIEW
Lang, Li-Ying (Hebei University of Engineering, Handan, Hebei Province, 056038, China); Shen, Lan Source: Proceedings of 2009 4th International Conference on Computer Science and Education, ICCSE 2009, p 604-607, 2009, Proceedings of 2009 4th International Conference on Computer Science and Education, ICCSE 2009

Review

1. Impact of power control in wireless sensor networks powered by ambient energy harvesting (WSN-HEAP) for railroad health monitoring
Tan, Hwee-Pink (Networking Protocols Department, Institute for Infocomm Research, Singapore); Lee, Pius W. Q.; Seah, Winston K. G.; Eu, Zhi Ang Source: Proceedings - International Conference on Advanced Information Networking and Applications, AINA, p 804-809, 2009, Proceedings - 2009 International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009
2. Rotations in a shear-beam model of a seven-story building caused by nonlinear waves during earthquake excitation
Gicev, V. (Rudarsko-geoloski fakultet, Slip, Macedonia); Trifunac, M.D. Source: Structural Control and Health Monitoring, v 16, n 4, p 460-82, June 2009
3. Field measurement on wind characteristic and buffeting response of the Runyang suspension bridge during typhoon Matsa
Wang Hao (Coll. of Civil Eng., Southeast Univ., Nanjing, China); Li AiQun; Guo Tong; Xie Jing Source: Science in China Series E: Technological Sciences, v 52, n 5, p 1354-62, May 2009
4. Orthogonal frequency coded SAW sensors for aerospace SHM applications
Wilson, W.C. (Virginia Commonwealth Univ., Richmond, VA, USA); Malocha, D.C.; Kozlovski, N.; Gallagher, D.R.; Fisher, B.; Pavlina, J.; Saldanha, N.; Puccio, D.; Atkinson, G.M. Source: IEEE Sensors Journal, v 9, n 11, p 1546-56, Nov. 2009
5. Remote sensing for bridge health monitoring
Liu, Wanqiu (Department of Civil and Environmental Eng., UNCC, 9201 University City Boulevard, Charlotte, NC 28223-0001, United States); Chen, She-Een; Hauser, Edd Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7456, 2009, Atmospheric and Environmental Remote Sensing Data Processing and Utilization V: Readiness for GEOSS III
6. Upper bound H∞ and H2 control for collocated structural systems
Hiramoto, K. (Dept. of Mech. Eng., Akita Univ., Akita, Japan); Grigoriadis, K. Source: Structural Control and Health Monitoring, v 16, n 4, p 425-40, June 2009
8. ERA modal identification method for hydraulic structures based on order determination and noise reduction of singular entropy
Lian JiJian (Sch. of Civil Eng., Tianjin Univ., Tianjin, China); Li HuoKun; Zhang JianWei Source: Science in China Series E: Technological Sciences, v 52, n 2, p 400-12, Feb. 2009
9. Condition monitoring and diagnosis for subsea control systems. A subsystem prototype
Altamiranda, E. (Subsea Control Syst. Eng. Dept., VetcoGray a GE Oil & Gas Bus., Stavanger, Norway); Kiaer, L.; Hu, X. Source: OCEANS 2009-EUROPE (OCEANS), p 6 pp., 2009
10. Blast analysis of concrete arch structures for FRP retrofitting design
Nam, Jin-Won (Department of Civil and Environmental Engineering, University of California, Davis One Shield Ave., Davis, CA 95616, United States); Kim, Ho-Jin; Yi, Na-Hyun; Kim, In-Soon; Kim, Jang-Ho Jay; Choi, Hyung-Jin Source: Computers and Concrete, v 6, n 4, p 305-318, August 2009

11. Vibration signature analysis of high-speed unbalanced rotors supported by rolling-element bearings due to off-sized rolling elements
Upadhyay, Sanjay H. (Mechanical and Industrial Engineering Department, Indian Institute of Technology, Roorkee, India); Harsha, Suraj P.; Jain, S.C. Source: International Journal of Acoustics and Vibrations, v 14, n 3, p 163-171, September 2009


13. A novel method of searching appropriate ranges of base isolation design parameters through entropy-based classification
Pei Chiung Huang (Dept. of Civil Eng., Nat. Chung Hsing Univ., Taichung, Taiwan); Shiuan Wan; Jia Yih Yen Source: Structural Control and Health Monitoring, v 16, n 4, p 385-405, June 2009

14. Simultaneous state estimation and parameter tuning in a shear building with a magneto-rheological damper
Jimenez-Fabian, R. (Inst. de Ing., Univ. Nac. Autonoma de Mexico Circuito Exterior, Mexico City, Mexico); Alvarez-Icaza, L. Source: Structural Control and Health Monitoring, v 16, n 4, p 483-502, June 2009

15. Hydrogen energy demonstration plant in Patagonia: description and safety issues
Aprea, J.L. (CNEA (Argentine Atomic Energy Comm.), Comahue Univ., Neuquen, Argentina) Source: International Journal of Hydrogen Energy, v 34, n 10, p 4684-91, May 2009

Review

1. Dual scale structural health monitoring system combining FBG sensors and laser scanning
Lima, Hugo F. (I3N-Aveiro, Physics Department, University of Aveiro, 381-193 Aveiro, Portugal); Domingues, M. Fátima; Nogueira, Rogério N.; André, Paulo; Pinto, João L. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7391, 2009, O3A: Optics for Arts, Architecture, and Archaeology II
2. Feature extraction and selection from vibration measurements for structural health monitoring
Toivola, Janne (Department of Information and Computer Science, Helsinki University of Technology, P.O. Box 5400, Espoo, TKK FI-02015, Finland); Hollmén, Jaakko Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5772 LCNS, p 213-224, 2009, Advances in Intelligent Data Analysis VIII - 8th International Symposium on Intelligent Data Analysis, IDA 2009, Proceedings
3. WSNs for structural health monitoring of historical buildings
Anastasi, Giuseppe (Dept. of Information Engineering, University of Pisa, Via Diotisalvi, 2, 56122 Pisa, Italy); Lo Re, Giuseppe; Ortolani, Marco Source: Proceedings - 2009 2nd Conference on Human System Interactions, HSI '09, p 574-579, 2009, Proceedings - 2009 2nd Conference on Human System Interactions, HSI '09
4. Feature extraction and sensor fusion for ultrasonic structural health monitoring under changing environmental conditions
Yinghui Lu (Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA); Michaels, J.E. Source: IEEE Sensors Journal, v 9, n 11, p 1462-71, Nov. 2009
5. Optimal planning of structural performance monitoring based on reliability importance assessment
Kim, Sunyong (Department of Civil and Environmental Engineering, ATLSS Center, Lehigh University, 117 ATLSS Dr, Bethlehem, PA 18015-4729, United States); Frangopol, Dan M. Source: Probabilistic Engineering Mechanics, v 25, n 1, p 86-98, January 2010
6. Vertical displacement measurements for bridges using optical fiber sensors and CCD cameras a preliminary study
Chan, T.H.T. (Sch. of Urban Dev., Queensland Univ. of Technol., Brisbane, QLD, Australia); Ashebo, D.B.; Tarn, H.Y.; Yu, Y.; Chan, T.F.; Lee, P.C.; Gracia, E.P. Source: Structural Health Monitoring, v 8, n 3, p 243-9, May 2009
7. On selection of data fusion schemes for structural damage evaluation
Zhongqing Su (Dept. of Mech. Eng., Hong Kong Polytech. Univ., Kowloon, China); Xiaoming Wang; Li Cheng; Long Yu; Zhiping Chen Source: Structural Health Monitoring, v 8, n 3, p 223-41, May 2009
8. Embedded algorithms within an FPGA to classify nonlinear single-degree-of-freedom systems
Jones, J.D. (Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA); Jin-Song Pei Source: IEEE Sensors Journal, v 9, n 11, p 1486-93, Nov. 2009
9. Implementation of a long-term bridge weigh-in-motion system for a steel girder bridge in the interstate highway system
Cardini, A.J. (AECOM Transportation, Boston, MA 02110, United States); Dewolf, John T. Source: Journal of Bridge Engineering, v 14, n 6, p 418-423, 2009
10. Mobile health monitoring for the elderly: Designing for diversity
Lorenz, Andreas (Fraunhofer FIT, Schloss Birlinghoven, D-53754 St. Augustin, Germany); Oppermann, Reinhard Source: Pervasive and Mobile Computing, v 5, n 5, p 478-495, October 2009
11. Self-diagnosis of smart structures based on dynamical properties
Fritzen, C.-P. (Dept. of Mech. Eng., Univ. of Siegen, Siegen, Germany); Kraemer, P. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1830-45, Aug. 2009
12. Damage identification by multi-model updating in the modal and in the time domain
Link, M. (Inst. of Statics & Struct. Dynamics, Univ. of Kassel, Kassel, Germany); Weiland, M. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1734-46, Aug. 2009
13. Fatigue reliability assessment of retrofitted steel bridges integrating monitored data
Liu, Ming (Department of Civil and Environmental Engineering, Advanced Technology for Large Structural Systems (ATLSS) Center, Lehigh University, Bethlehem, PA 18015-4729, United States); Frangopol, Dan M.; Kwon, Kihyon Source: Structural Safety, v 32, n 1, p 77-89, January 2010
14. Harsh environment silicon carbide sensors for health and performance monitoring of aerospace systems: a review
Senesky, D.G. (Univ. of California, Berkeley, CA, USA); Jamshidi, B.; Kan Bun Cheng; Pisano, A.P. Source: IEEE Sensors Journal, v 9, n 11, p 1472-8, Nov. 2009
15. A method for the localization of damage in a CFRP plate using damping
Montalvao, D. (Dept. of Mech. Eng., Escola Super. de Tecnol. de Setubal, Setubal, Portugal); Ribeiro, A.M.R.; Duarte-Silva, J. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1846-54, Aug. 2009
16. Wireless sensor networks for strain monitoring during steel bridges launching
Chacon, R. (Constr. Eng. Dept., Univ. Politec. de Catalunya UPC, Barcelona, Spain); Guzman, F.; Mirambell, E.; Real, E.; Onate, E. Source: Structural Health Monitoring, v 8, n 3, p 195-205, May 2009
17. Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model
Kijsanayotin, B. (Bur. of Policy & Strategy, Minist. of Public Health, Nonthaburi, Thailand); Pannarunothai, S.; Speedie, S.M. Source: International Journal of Medical Informatics, v 78, n 6, p 404-16, June 2009
18. Er3+-activated photonic structures fabricated by sol-gel and rf-sputtering techniques
Ferrari, M. (CNR-IFN, CSMFO Lab., via alla Cascata 56/C, Povo, 38123 Trento, Italy); Alombert-Goget, G.; Armellini, C.; Berneschi, S.; Bhaktha, S.N.B.; Boulard, B.; Brenci, M.; Chiappini, A.; Chiasera, A.; Duverger-Arfuso, C.; Féron, P.; Gonçalves, R.R.; Jestin, Y.; Minati, L.; Moser, E.; Nunzi Conti, G.; Pelli, S.; Rao, D.N.; Retoux, R.; Righini, G.C.; Speranza, G. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7366, 2009, Photonic Materials, Devices, and Applications III
19. Antenna/sensor multifunctional composites for the wireless detection of damage
Matsuzaki, Ryosuke (Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, Tokyo, 152-8552, Japan); Melnykowycz, Mark; Todoroki, Akira Source: Composites Science and Technology, v 69, n 15-16, p 2507-2513, December 2009
20. Localized damage detection of structures subject to multiple ambient excitations using two distance measures for autoregressive models
Haitao Zheng (Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan); Mita, A. Source: Structural Health Monitoring, v 8, n 3, p 207-22, May 2009
21. Mobile agent technology for distributed sensing and actuation systems
Chen, Bo (Department of Mechanical Engineering - Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, United States) Source: 2008 Proceedings of the ASME Dynamic Systems and Control Conference, DSCC 2008, n PART B, p 1479-1485, 2009, 2008 Proceedings of the ASME Dynamic Systems and Control Conference, DSCC 2008
22. Providing real-time indoor air analytical results at a medical facility prior and subsequent to a chlorine dioxide fumigation using a Trace Atmospheric Gas Analyzer (TAGA) mounted on a moveable platform
Mickunas, David B. (US Environmental Protection Agency/Environmental Response Team, Mail Code E343-04, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States); Blaze, Stephen L.; Wood, J.; Thompson, S.; Weeks, W. Source: Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008, p 535-539, 2008, Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008
23. Cache-aware optimization of BAN applications
Ju, Lei (Department of Computer Science, National University of Singapore, Singapore, Singapore); Liang, Yun; Chakraborty, Samarjit; Mitra, Tulika; Roychoudhury, Abhik Source: Design Automation for Embedded Systems, v 13, n 3, p 159-178, September 2009
24. Effects of pH on the rieske protein from thermus thermophilus: A spectroscopic and structural analysis
Konkle, Mary E. (Department of Chemistry, Trinity University, One Trinity Place, San Antonio, TX 78212, United States); Muellner, Sarah K.; Schwander, Anika L.; Dicus, Michelle M.; Pokhrel, Ravi; Britt, R. David; Taylor, Alexander B.; Hunsicker-Wang, Laura M. Source: Biochemistry, v 48, n 41, p 9848-9857, October 20, 2009
25. Using field analytics to resolve vapor intrusion issues
Mickunas, David B. (US Environmental Protection Agency, Environmental Response Team, Mail Code E343-04, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States); Blaze, Stephen L.; Wood, J.; Thompson, S.; McCall, D.; Shields, C.; Weeks, W.; Magan, R. Source: Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008, p 103-107, 2008, Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008

Review

1. Real-time system identification of a nonlinear four-story steel frame structure - application to structural health monitoring
Hann, C.E. (Dept. of Mech. Eng., Univ. of Canterbury, Christchurch, New Zealand); Singh-Levett, I.; Deam, B.L.; Mander, J.B.; Chase, J.G. Source: IEEE Sensors Journal, v 9, n 11, p 1339-46, Nov. 2009

2. An integrated sensing/communication architecture for structural health monitoring
Merlino, P. (Dipt. di Ing. Elettr., Gestionale e Meccanica, Univ. of Udine, Udine, Italy); Abramo, A. Source: IEEE Sensors Journal, v 9, n 11, p 1397-404, Nov. 2009

3. Structural health monitoring of bridges using acoustic emission technology
Tan, A.C.C. (Fac. of Built Environ. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia); Kaphle, M.; Thambiratnam, D. Source: 2009 8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009), p 839-43, 2009

4. The development of robust structural health monitoring sensors utilizing TRIP steel
Bemont, C.P. (Univ. of KwaZulu-Natal, Durban, South Africa) Source: IEEE Sensors Journal, v 9, n 11, p 1449-55, Nov. 2009

5. Frequency domain based damage index for structural health monitoring
Giridhara, G. (Department of Mechanical Engineering, BMS College of Engineering, Bangalore 560019, India); Gopalakrishnan, S. Source: SDHM Structural Durability and Health Monitoring, v 5, n 1, p 1-31, 2009

6. Self-powered sensors for monitoring of highway bridges
Sazonov, E. (Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA); Haodong Li; Curry, D.; Pillay, P. Source: IEEE Sensors Journal, v 9, n 11, p 1422-9, Nov. 2009

7. Fault-mode classification for health monitoring of electronics subjected to drop and shock
Lall, Pradeep (Auburn University, Department of Mechanical Engineering, NSF Center for Advanced Vehicle and Extreme Environment Electronics (CAVE3), Auburn, AL 36849, United States); Gupta, Prashant; Panchagade, Dhananjay; Angral, Arjun Source: Proceedings - Electronic Components and Technology Conference, p 668-681, 2009, 2009 Proceedings 59th Electronic Components and Technology Conference, ECTC 2009

8. Real time damage state estimation and condition based residual useful life estimation of a metallic specimen under biaxial loading
Mohanty, S. (Department of Mechanical and Aerospace Engineering, ASU, Tempe, AZ, United States); Chattopadhyay, A.; Wei, J.; Peralta, P. Source: SDHM Structural Durability and Health Monitoring, v 5, n 1, p 33-55, 2009



9. Highway bridge assessment using an adaptive real-time wireless sensor network
Whelan, M.J. (Clarkson Univ., Potsdam, NY, USA); Gangone, M.V.; Janoyan, K.D. Source: IEEE Sensors Journal, v 9, n 11, p 1405-13, Nov. 2009



10. Sensibility study for the near-field sub-band beamforming method for damage detection in bridges
Medda, Alessio (Department of Electrical and Computer Engineering, Florida State University); De Brunner, Victor Source: Conference Record - Asilomar Conference on Signals, Systems and Computers, p 398-401, 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008



11. Sensitivity of Eigen value to damage and its identification
Raghuprasad, B.K. (Indian Inst. of Sci., Bangalore, India); Lakshmanan, N.; Gopalakrishnan, N.; Muthumani, K. Source: Structural Durability & Health Monitoring, v 4, n 3, p 117-44, 2008



12. 3D integration technologies for ceramic substrates in a SHM application
Hildebrandt, S. (Electron. Packaging Lab., Dresden Univ. of Technol., Dresden, Germany); Wolter, K.-J. Source: 2009 European Microelectronics and Packaging Conference (EMPC), p 5 pp., 2009



13. Research on delamination monitoring for composite structures based on HHGA-WNN
Shi-jie Zheng (Aeronaut. Sci. Key Lab. of Smart Mater. & Struct., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China); Zheng-qiang Li; Hong-tao Wang Source: Applied Soft Computing, v 9, n 3, p 918-23, June 2009



14. RF cavity passive wireless sensors with time-domain gating-based interrogation for SHM of civil structures
Thomson, D.J. (Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada); Card, D.; Bridges, G.E. Source: IEEE Sensors Journal, v 9, n 11, p 1430-8, Nov. 2009



15. Implementation and evaluation of a ubiquitous health monitoring system
Yamazaki, Akira (Department of Informatics, Graduate School of Science And Engineering, Yamagata University, Japan); Koyama, Akio; Arai, Junpei; Barolli, Leonard Source: Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009, p 367-374, 2009, Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009



16. Optimizing energy-latency trade-off in sensor networks with controlled mobility
Sugihara, Ryo (CSE Department, University of California, San Diego, San Diego, CA 92093, United States); Gupta, Rajesh K. Source: Proceedings - IEEE INFOCOM, p 2566-2570, 2009, IEEE INFOCOM 2009 - The 28th Conference on Computer Communications



17. A survey of recent physiological monitoring and transmission to support the service of critical care
McGregor, C. (Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada); Smith, K.P.; Eklund, J.M. Source: 2009 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), p 7 pp., 2009



18. Dynamic finite element model updating of prestressed concrete continuous box-girder bridge
Lin, Xiankun (Institute of Vibration Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China); Zhang, Lingmi; Guo, Qintao; Zhang, Yufeng Source: Earthquake Engineering and Engineering Vibration, v 8, n 3, p 399-407, September 2009



19. Submillimeter crack detection with Brillouin-based fiber-optic sensors
Ravet, F. (Omnisens SA, Morges, Switzerland); Briffod, F.; Glisic, B.; Nikles, M.; Inaudi, D. Source: IEEE Sensors Journal, v 9, n 11, p 1391-6, Nov. 2009



20. Case studies on vibration based damage identification: multi-criteria approach
Chan, T.H.T. (Fac. of Built Environ. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia); Shih, H.W.; Thambiratnam, D.P. Source: 2009 8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009), p 1242-7, 2009



21. A survey of physiological monitoring data models to support the service of critical care
McGregor, C. (Inst. of Technol., Univ. of Ontario, Oshawa, ON, Canada); Smith, K.P. Source: 2009 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC 2009), p 104-9, 2009



22. Fatigue analysis of spot-welded joint for automative structures
Rahman, M.M. (Fac. of Mech. Eng., Univ. Malaysia Pahang, Kuantan, Malaysia); Arrifin, A.K.; Nor, M.J.M.; Abdullah, S. Source: Structural Durability & Health Monitoring, v 4, n 3, p 173-80, 2008



23. Brillouin spectral response depending on strain non-uniformity within centimeter spatial resolution and its application to internal damage detection in large-scale composite structures
Minakuchi, Shu (Department of Advanced Energy, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8561, Japan); Mizutani, Tadahito; Tsukamoto, Haruka; Nishio, Mayuko; Okabe, Yoji; Takeda, Nobuo Source: SDHM Structural Durability and Health Monitoring, v 4, n 4, p 199-219, 2008



24. Evaluation of concrete penetration depth under impact loading employing empirical formulae
Murthy, A. Rama Chandra (Structural Engineering Research Centre, CSIR Campus, Taramani, Chennai-600 113, India); Palani, G.S.; Iyer, Nagesh R. Source: SDHM Structural Durability and Health Monitoring, v 4, n 4, p 221-229, 2008



25. FE analysis of a notched cylinder under multiaxial cyclic loading using the multilayer model of Besseling
Savaidis, G. (Aristotle Univ. Thessaloniki, Thessaloniki, Greece); Pitatzis, N.; Savaidis, A.; Zhang, C. Source: Structural Durability & Health Monitoring, v 4, n 3, p 145-60, 2008

review

1. Periodic seismic performance evaluation of highway bridges using structural health monitoring system
Jin-Hak Yi (Coastal Eng. & Ocean Energy Res. Dept., Korea Ocean R&D Inst., Ansan, South Korea); Dookie Kim; Fengt, M.Q. Source: Structural Engineering and Mechanics, v 31, n 5, p 527-44, 30 March 2009


2. Force sensor system for structural health monitoring using passive RFID tags
Ikemoto, Yusuke (Research into Artifacts, Center for Engineering, University of Tokyo, Kashiwa-shi, Chiba, Japan); Suzuki, Shingo; Okamoto, Hiroyuki; Murakami, Hiroki; Asama, Hajime; Morishita, Soichiro; Mishima, Taketoshi; Lin, Xin; Itoh, Hideo Source: Sensor Review, v 29, n 2, p 127-136, 2009



3. Bio-inspired sensor skins for structural health monitoring
Tata, U. (Dept. of Mech. & Aerosp. Eng., Univ. of Texas at Arlington, Arlington, TX, USA); Deshmukh, S.; Chiao, J.C.; Carter, R.; Huang, H. Source: Smart Materials and Structures, v 18, n 10, p 104026 (8 pp.), Oct. 2009



4. A new impedance measurement system for PZT-based structural health monitoring
Baptista, F.G. (Dept. of Electr. Eng., Sao Paulo State Univ. (UNESP), Ilha Solteira, Brazil); Filho, J.V. Source: IEEE Transactions on Instrumentation and Measurement, v 58, n 10, p 3602-8, Oct. 2009



5. Real-time wireless vibration monitoring for operational modal analysis of an integral abutment highway bridge
Whelan, Matthew J. (Clarkson University, Department of Civil and Environmental Engineering, Potsdam, NY 13699-5712, United States); Gangone, Michael V.; Janoyan, Kerop D.; Jha, Ratneshwar Source: Engineering Structures, v 31, n 10, p 2224-2235, October 2009



6. Ayushman: A secure, usable pervasive health monitoring system
Venkatasubramanian, K. (IMPACT Lab., School of Computing and Informatics, Arizona State University, Tempe, AZ 85287, United States); Gupta, S.K. Source: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08, 2008, Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08



7. Averaged acoustic emission events for accurate damage localization
Ince, N.F. (Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States); Kao, Chu-Shu; Kaveh, M.; Tewfik, A.; Labuz, J.F. Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p 2201-2204, 2009, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009



8. Health monitoring using support vector classification on an auxiliary power unit
Vieira, Fábio Manzoni (EMBRAER, Empresa Brasileira de Aeronáutica S.A., Av. Brigadeiro Faria Lima, 2170, Putim 12227-901 - São José dos Campos - SP, Brazil); Bizarria, Cintia De Oliveira; Nascimento Jr., Cairo Lúcio; Fitzgibbon, Kevin Theodore Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



9. Remote health monitoring increases reliability and condition-based maintenance
Green, Bruce (GBS Group, Bldg. 3300 South, 397 Little Neck Rd., Virginia Beach, VA 23452, United States); Hull, George; Hurtado, Juan; Harvill, Mark Source: American Society of Mechanical Engineers, Rail Transportation Division (Publication) RTD, p 143-148, 2009, 2008 Proceedings of the ASME Rail Transportation Division Fall Conference



10. The application of 1-3 cement-based piezoelectric transducers in active and passive health monitoring for concrete structures
Lei Qin (Sch. of Civil & Archit. Eng., Univ. of Jinan, Jinan, China); Shifeng Huang; Xin Cheng; Youyuan Lu; Zongjin Li Source: Smart Materials and Structures, v 18, n 9, p 095018 (8 pp.), Sept. 2009



11. Wireless and embedded carbon nanotube networks for damage detection in concrete structures
Saafi, Mohamed (Department of Construction Engineering and Management, North Dakota State University, Fargo, ND 58108, United States) Source: Nanotechnology, v 20, n 39, 2009



12. Smart bridges under development with new federal grant
Source: Noise & Vibration Worldwide, v 40, n 3, p 10-11, March 2009



13. Sensor system selection for prognostics and health monitoring
Cheng, Shunfeng (Proanostics and Health Manaqement Lab); Azarian, Michael; Pechf, Michael Source: 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008, v 3, n PART B, p 1383-1389, 2009, 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008



14. Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Barua, A. (Department of Electrical and Computer Engineering, Concordia University, Montreal, QC H3G 1M8, Canada); Khorasani, K. Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



15. Aircraft flap and slat systems health monitoring using statistical process control techniques
Leão, Bruno P. (EMBRAER, Empresa Brasileira de Aeronáutica S.A., Av. Brigadeiro Faria Lima, 2170, Putim São José dos Campos, SP 12227-901, Brazil); Gomes, João P. P.; Galvão, Roberto K. H.; Yoneyama, Takashi Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



16. Diagnostic enhancements for air vehicle HUMS to increase prognostic system effectiveness
Patrick, Romano (Impact Technologies, LLC, 200 Canal View Blvd., Rochester, NY 14623, United States); Smith, Matthew J.; Zhang, Bin; Byington, Carl S.; Vachtsevanos, George J.; Del Rosario, Romeo Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



17. Damage identification by computational model updating
Link, Michael (Institute of Statics and Structural Dynamics, University of Kassel, Germany); Weiland, Matthias Source: 2008 Proceedings of the 9th Biennial Conference on Engineering Systems Design and Analysis, v 2, p 683-693, 2009, 2008 Proceedings of the 9th Biennial Conference on Engineering Systems Design and Analysis



18. Prognostics and health monitoring for an electro-hydraulic flight control actuator
Bizarria, Cintia De Oliveira (EMBRAER, Empresa Brasileira de Aeronáutica S.A., Av. Brigadeiro Faria Lima, 2170, Putim São José dos Campos, SP 12227-901, Brazil); Yoneyama, Takashi Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



19. Quality of Service consideration for the wireless telemedicine and e-health services
Zvikhachevskaya, Anna (Department of Communication Systems (InfoLab21), Lancaster University, Lancaster, United Kingdom); Markarian, Garik; Mihaylova, Lyudmila Source: IEEE Wireless Communications and Networking Conference, WCNC, 2009, 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings



20. Exploring early evaluation techniques of ambient health promoting devices in home environments of senior citizens living independently
Rege, Rajasee (School of Informatics, Indiana University, Bloomington, IN 47408, United States); Jung, Heekyoung; Hazelwood, William; Orlov, Greg; Connelly, Kay; Shankar, Kalpana Source: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08, 2008, Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08



21. Configuring and enhancing measurement systems for damage identification
Kripakaran, Prakash (Applied Computing and Mechanics Laboratory (IMAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 18, 1015 Lausanne, Switzerland); Smith, Ian. F.C. Source: Advanced Engineering Informatics, v 23, n 4, p 424-432, October 2009



22. Statistical pattern recognition and built-in reliability test for feature extraction and health monitoring of electronics under shock loads
Lall, Pradeep (Department of Mechanical Engineering, National Science Foundation's Center for Advanced Vehicle and Extreme Environment Electronics, Auburn University, Auburn, AL 36849, United States); Choudhary, Prakirti; Gupte, Sameep; Hofmeister, James Source: IEEE Transactions on Components and Packaging Technologies, v 32, n 3, p 600-616, 2009



23. Condition based maintenance of military ground vehicles
Rabeno, Eric (US Army Materiel Systems Analysis Activity (AMSAA), Bldg. 392 (AMSRD-AMS-LA), 392 Hopkins Road, Aberdeen Proving Ground, MD 21005-5071, United States); Bounds, Mark Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



24. The AIV quick look and health monitoring system of the AGILE payload
Bulgarelli, Andrea (INAF, IASF Bologna, Italy); Gianotti, Fulvio; Trifoglio, Massimo; Di Cocco, Guido; Tavani, Marco; Marisaldi, Martino Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7011, 2008, Space Telescopes and Instrumentation 2008: Ultraviolet to Gamma Ray



25. A localized vibration response technique for damage detection in bridges
Medda, Alessio (Department of Electrical and Computer Engineering, FAMU-FSU College of Engineering, Florida State University); DeBrunner, Victor Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p 1337-1340, 2009, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009