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