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
Sunday, October 25, 2009
Sunday, October 18, 2009
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
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
Review
1. Towards a practical structural health monitoring technology for patched cracks in aircraft structure
Baker, A. (Air Vehicles Div., Defence Sci. & Technol. Organ., Melbourne, VIC, Australia); Rajic, N.; Davis, C. Source: Composites Part A: Applied Science and Manufacturing, v 40, n 9, p 1340-52, Sept. 2009
2. Polymer optical fiber sensors for distributed strain measurement and application in structural health monitoring
Liehr, S. (BAM Fed. Inst. for Mater. Res. & Testing, Berlin, Germany); Lenke, P.; Wendt, M.; Krebber, K.; Seeger, M.; Thiele, E.; Metschies, H.; Gebreselassie, B.; Munich, J.C. Source: IEEE Sensors Journal, v 9, n 11, p 1330-8, Nov. 2009
3. Applicability of acoustic noise correlation for structural health monitoring in nondiffuse field conditions
Moulin, E. (Dept. of OAE, Univ. de Valenciennes et du Hainaut Cambresis, Valenciennes, France); Abou Leyla, N.; Assaad, J.; Grondel, S. Source: Applied Physics Letters, v 95, n 9, p 094104 (3 pp.), 31 Aug. 2009
4. Advanced active health monitoring system of liquid rocket engines
Qing, X.P. (Acellent Technol., Inc., Sunnyvale, CA, USA); Zhanjun Wu; Beard, S.; Fu-Kuo Chang Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 737506 (8 pp.), 2008
5. An experimental low-cost, low-data-rate rapid structural assessment network
Jren-Chit Chin (Purdue Univ., West Lafayette, IN, USA); Rautenberg, J.M.; Ma, C.Y.T.; Pujol, S.; Yau, D.K.Y. Source: IEEE Sensors Journal, v 9, n 11, p 1361-9, Nov. 2009
6. A trusted affective model approach to proactive health monitoring system
Chao, Xu (School of Computer Science and Technology, Tianjin University, Tianjin, China); Zhiyong, Feng Source: Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008, p 429-432, 2008, Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008
7. Use of wireless sensors for timber trestle railroad bridges health monitoring assessment
Moreu, Fernando (ESCA Consultants, Inc., 2008 Linview Ave., Urbana, IL); Nagayama, Tomonori Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
8. Necessity of the bridge health monitoring system to mitigate natural and man-made disasters
Sung-Pil Chang (Seoul Nat. Univ., Seoul, South Korea); Jaeyeol Yee; Jungwhee Lee Source: Structure and Infrastructure Engineering, v 5, n 3, p 173-97, June 2009
9. Damage detection on the joint of steel frame through high-frequency admittance signals
Dansheng Wang (Sch. of Civil Eng. & Mech., Huazhong Univ. of Sci. & Technol., Wuhan, China); Hongping Zhu; Huaqiang Zhou; Haiping Yang Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 73753J (6 pp.), 2008
10. EADS generic approach for operational aircraft health monitoring
Ariel, Jacques (EADS) Source: IET Seminar Digest, v 2008, n 12390, 2008, IET Seminar on Aircraft Health Management for New Operational and Enterprise Solutions
11. Fiber in the home: Broadband networks and optic distributed sensing
Liu, Baozhong (College of Computer Science and Engineering, Wuhan Institute of Technology, 693 ChuXiong Road, Wuhan, 430073, China); Peng, Meng; Wang, Wei; Liu, Boya Source: Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008, p 223-228, 2008, Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008
12. Plate-like structure health monitoring based on ultrasonic guided wave technology by using bonded piezoelectric ceramic wafers
Liu Zenghua (Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China); Zhao Jichen; He Cunfu; Wu Bin Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 73755S (6 pp.), 2008
13. Comparison of modal parameter identification algorithms based on shaking table model test data
Jianping Han (Res. Inst. of Struct. Eng. & Disaster Reduction, Tongji Univ., Shanghai, China); Xilin Lu; Feixing Wang Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 73750K (7 pp.), 2008
14. Baseline-free imaging method based on new pzt sensor arrangements
Qiang, Wang (Aeronautical Science Key Laboratory for Smart Materials and Structures, Nanjing University of Aeronautics and Astronautics, 29 Yu Dao Street, Nanjing 210016, China); Shenfang, Yuan Source: Journal of Intelligent Material Systems and Structures, v 20, n 14, p 1663-1673, 2009
15. Policy and management of medical devices for the public health care sector in Benin
Houngbo, P.Th. (Minist. of Health, Benin); Wilt, G.J.V.D.; Medenou, D.; Dakpanon, L.Y.; Bunders, J.; Ruitenberg, J. Source: IET Seminar Digest, v 2008, n 12213, 2008, 5th IET International Seminar on Appropriate Healthcare Technologies for Developing Countries (AHT 2008)
16. Influence of interface degradation on the performance of piezoelectric actuators
Lanzara, Giulia (Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305-4035, United States); Yoon, Youngki; Kim, Yujun; Chang, Fu-Kuo Source: Journal of Intelligent Material Systems and Structures, v 20, n 14, p 1699-1710, 2009
17. Remote sensing for bridge health monitoring
Wanqiu Liu (UNCC, Depart. of Civil & Environ. Eng., Charlotte, NC, USA); She-Een Chen; Hauser, E. Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7456, p 74560D (10 pp.), 2009
18. Sequential damage detection approaches for beams using time-modal features and artificial neural networks
Jae-Hyung Park (Dept. of Ocean Eng., Pukyong Nat. Univ., Busan, South Korea); Jeong-Tae Kim; Dong-Soo Hong; Duc-Duy Ho; Jin-Hak Yi Source: Journal of Sound and Vibration, v 323, n 1-2, p 451-74, 5 June 2009
19. Piezoelectric active-sensor diagnostics and validation using instantaneous baseline data
Overly, T.G. (Los Alamos Nat. Lab., Los Alamos, NM, USA); Gyuhae Park; Farinholt, K.M.; Farrar, C.R. Source: IEEE Sensors Journal, v 9, n 11, p 1414-21, Nov. 2009
20. Passively controlled MR damper in the benchmark structural control problem for seismically excited highway bridge
Pradono, Mulyo Harris (Center for Structural Strength Technology, Agency for the Assessment and Application of Technology, Puspiptek, Tangerang 15314, Indonesia); Iemura, Hirokazu; Igarashi, Akira; Toyooka, Akihiro; Kalantari, Afshin Source: Structural Control and Health Monitoring, v 16, n 6, p 626-638, October 2009, Special Issue: Part 2: Benchmark Structural Control Problem for Seismically Excited Highway Bridge
21. Research of cable tension sensor with difference structure based on magnetoelastic effect
Dedong Tang (Coll. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China); Shangzun Yuan; Xinping Yan; Pengfei Li Source: 2009 8th IEEE International Conference on Cognitive Informatics (ICCI), p 264-9, 2009
22. Inverse problem in damage detection
Ying Luo (Fac. of Sci., Jiangsu Univ., Zhenjiang, China); Zhongfang Li Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 73752Q (6 pp.), 2008
23. Service contracting for helicopter HUMS
Dollin, Andy Source: IET Seminar Digest, v 2008, n 12390, 2008, IET Seminar on Aircraft Health Management for New Operational and Enterprise Solutions
24. Robust direct adaptive controller for the nonlinear highway
Benchmark, Bridge (Department of Civil and Environmental Engineering, University of Waterloo, 200 University Avenue W., Waterloo, ON N2L 3G1, Canada); Narasimhan, Sriram Source: Structural Control and Health Monitoring, v 16, n 6, p 599-612, October 2009, Special Issue: Part 2: Benchmark Structural Control Problem for Seismically Excited Highway Bridge
25. Design of smart refrigerator for ubiquitous healthcare
Bo-Rim Ryu (Seoul Women's Univ., Seoul, South Korea); Tae Soo Lee; Heung-Gyoon Ryu Source: IET Conference on Assisting Living 2009, p 4 pp., 2009
Baker, A. (Air Vehicles Div., Defence Sci. & Technol. Organ., Melbourne, VIC, Australia); Rajic, N.; Davis, C. Source: Composites Part A: Applied Science and Manufacturing, v 40, n 9, p 1340-52, Sept. 2009
2. Polymer optical fiber sensors for distributed strain measurement and application in structural health monitoring
Liehr, S. (BAM Fed. Inst. for Mater. Res. & Testing, Berlin, Germany); Lenke, P.; Wendt, M.; Krebber, K.; Seeger, M.; Thiele, E.; Metschies, H.; Gebreselassie, B.; Munich, J.C. Source: IEEE Sensors Journal, v 9, n 11, p 1330-8, Nov. 2009
3. Applicability of acoustic noise correlation for structural health monitoring in nondiffuse field conditions
Moulin, E. (Dept. of OAE, Univ. de Valenciennes et du Hainaut Cambresis, Valenciennes, France); Abou Leyla, N.; Assaad, J.; Grondel, S. Source: Applied Physics Letters, v 95, n 9, p 094104 (3 pp.), 31 Aug. 2009
4. Advanced active health monitoring system of liquid rocket engines
Qing, X.P. (Acellent Technol., Inc., Sunnyvale, CA, USA); Zhanjun Wu; Beard, S.; Fu-Kuo Chang Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 737506 (8 pp.), 2008
5. An experimental low-cost, low-data-rate rapid structural assessment network
Jren-Chit Chin (Purdue Univ., West Lafayette, IN, USA); Rautenberg, J.M.; Ma, C.Y.T.; Pujol, S.; Yau, D.K.Y. Source: IEEE Sensors Journal, v 9, n 11, p 1361-9, Nov. 2009
6. A trusted affective model approach to proactive health monitoring system
Chao, Xu (School of Computer Science and Technology, Tianjin University, Tianjin, China); Zhiyong, Feng Source: Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008, p 429-432, 2008, Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008
7. Use of wireless sensors for timber trestle railroad bridges health monitoring assessment
Moreu, Fernando (ESCA Consultants, Inc., 2008 Linview Ave., Urbana, IL); Nagayama, Tomonori Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
8. Necessity of the bridge health monitoring system to mitigate natural and man-made disasters
Sung-Pil Chang (Seoul Nat. Univ., Seoul, South Korea); Jaeyeol Yee; Jungwhee Lee Source: Structure and Infrastructure Engineering, v 5, n 3, p 173-97, June 2009
9. Damage detection on the joint of steel frame through high-frequency admittance signals
Dansheng Wang (Sch. of Civil Eng. & Mech., Huazhong Univ. of Sci. & Technol., Wuhan, China); Hongping Zhu; Huaqiang Zhou; Haiping Yang Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 73753J (6 pp.), 2008
10. EADS generic approach for operational aircraft health monitoring
Ariel, Jacques (EADS) Source: IET Seminar Digest, v 2008, n 12390, 2008, IET Seminar on Aircraft Health Management for New Operational and Enterprise Solutions
11. Fiber in the home: Broadband networks and optic distributed sensing
Liu, Baozhong (College of Computer Science and Engineering, Wuhan Institute of Technology, 693 ChuXiong Road, Wuhan, 430073, China); Peng, Meng; Wang, Wei; Liu, Boya Source: Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008, p 223-228, 2008, Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008
12. Plate-like structure health monitoring based on ultrasonic guided wave technology by using bonded piezoelectric ceramic wafers
Liu Zenghua (Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China); Zhao Jichen; He Cunfu; Wu Bin Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 73755S (6 pp.), 2008
13. Comparison of modal parameter identification algorithms based on shaking table model test data
Jianping Han (Res. Inst. of Struct. Eng. & Disaster Reduction, Tongji Univ., Shanghai, China); Xilin Lu; Feixing Wang Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 73750K (7 pp.), 2008
14. Baseline-free imaging method based on new pzt sensor arrangements
Qiang, Wang (Aeronautical Science Key Laboratory for Smart Materials and Structures, Nanjing University of Aeronautics and Astronautics, 29 Yu Dao Street, Nanjing 210016, China); Shenfang, Yuan Source: Journal of Intelligent Material Systems and Structures, v 20, n 14, p 1663-1673, 2009
15. Policy and management of medical devices for the public health care sector in Benin
Houngbo, P.Th. (Minist. of Health, Benin); Wilt, G.J.V.D.; Medenou, D.; Dakpanon, L.Y.; Bunders, J.; Ruitenberg, J. Source: IET Seminar Digest, v 2008, n 12213, 2008, 5th IET International Seminar on Appropriate Healthcare Technologies for Developing Countries (AHT 2008)
16. Influence of interface degradation on the performance of piezoelectric actuators
Lanzara, Giulia (Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305-4035, United States); Yoon, Youngki; Kim, Yujun; Chang, Fu-Kuo Source: Journal of Intelligent Material Systems and Structures, v 20, n 14, p 1699-1710, 2009
17. Remote sensing for bridge health monitoring
Wanqiu Liu (UNCC, Depart. of Civil & Environ. Eng., Charlotte, NC, USA); She-Een Chen; Hauser, E. Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7456, p 74560D (10 pp.), 2009
18. Sequential damage detection approaches for beams using time-modal features and artificial neural networks
Jae-Hyung Park (Dept. of Ocean Eng., Pukyong Nat. Univ., Busan, South Korea); Jeong-Tae Kim; Dong-Soo Hong; Duc-Duy Ho; Jin-Hak Yi Source: Journal of Sound and Vibration, v 323, n 1-2, p 451-74, 5 June 2009
19. Piezoelectric active-sensor diagnostics and validation using instantaneous baseline data
Overly, T.G. (Los Alamos Nat. Lab., Los Alamos, NM, USA); Gyuhae Park; Farinholt, K.M.; Farrar, C.R. Source: IEEE Sensors Journal, v 9, n 11, p 1414-21, Nov. 2009
20. Passively controlled MR damper in the benchmark structural control problem for seismically excited highway bridge
Pradono, Mulyo Harris (Center for Structural Strength Technology, Agency for the Assessment and Application of Technology, Puspiptek, Tangerang 15314, Indonesia); Iemura, Hirokazu; Igarashi, Akira; Toyooka, Akihiro; Kalantari, Afshin Source: Structural Control and Health Monitoring, v 16, n 6, p 626-638, October 2009, Special Issue: Part 2: Benchmark Structural Control Problem for Seismically Excited Highway Bridge
21. Research of cable tension sensor with difference structure based on magnetoelastic effect
Dedong Tang (Coll. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China); Shangzun Yuan; Xinping Yan; Pengfei Li Source: 2009 8th IEEE International Conference on Cognitive Informatics (ICCI), p 264-9, 2009
22. Inverse problem in damage detection
Ying Luo (Fac. of Sci., Jiangsu Univ., Zhenjiang, China); Zhongfang Li Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 7375, p 73752Q (6 pp.), 2008
23. Service contracting for helicopter HUMS
Dollin, Andy Source: IET Seminar Digest, v 2008, n 12390, 2008, IET Seminar on Aircraft Health Management for New Operational and Enterprise Solutions
24. Robust direct adaptive controller for the nonlinear highway
Benchmark, Bridge (Department of Civil and Environmental Engineering, University of Waterloo, 200 University Avenue W., Waterloo, ON N2L 3G1, Canada); Narasimhan, Sriram Source: Structural Control and Health Monitoring, v 16, n 6, p 599-612, October 2009, Special Issue: Part 2: Benchmark Structural Control Problem for Seismically Excited Highway Bridge
25. Design of smart refrigerator for ubiquitous healthcare
Bo-Rim Ryu (Seoul Women's Univ., Seoul, South Korea); Tae Soo Lee; Heung-Gyoon Ryu Source: IET Conference on Assisting Living 2009, p 4 pp., 2009
Sunday, October 11, 2009
Review
1. Application of smart 3-D laser scanner in structural health monitoring
Sumitro, S. (Smart Structures LLC, IL, United States); Matsuda, H.; Itoh, Y.; Nishimura, S. Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 566-567, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
2. Structural health monitoring of a concrete column subjected shake table excitations using smart aggregates
Liao, W.I. (National Taipei University of Technology, Taipei, Taiwan); Gu, H.; Olmi, C.; Song, G.; Mo, Y.L.; Loh, C.H. Source: Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, v 323, 2008, Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
3. Structural health monitoring of bridges in the State of Connecticut
Liu, C. (WSP-SELLS Inc., Briarcliff Manor, NY, USA); Olund, J.; Cardini, A.; D'Attilio, P.; Feldblum, E.; DeWolf, J. Source: Earthquake Engineering and Engineering Vibration, v 7, n 4, p 427-37, Dec. 2008
4. Structural health monitoring with smart NDE technology
Lee, Seung-Seok (Safety Metrology Group, Korea Research Institute of Standards and Science, Korea, Republic of); Kwon, Il-Bum; Yoon, Dong-Jin Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 17-20, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
5. Optimal experimental design for structural health monitoring applications
Lam, H.F. (City University of Hong Kong, Department of Building and Construction, Hong Kong, Hong Kong); Papadimitriou, C.; Ntotsios, E. Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 238, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
6. A new impedance measurement system for PZT-based structural health monitoring
Baptista, Fabricio Guimarães (Department of Electrical Engineering, São Paulo State University (UNESP), São Paulo 15385-000, Brazil); Filho, Jozue Vieira Source: IEEE Transactions on Instrumentation and Measurement, v 58, n 10, p 3602-3608, 2009
7. A circuit design for piezoelectric impedance-based health monitoring
Zhao, Zhou (North Dakota State University, Fargo, ND 58105-5285, United States); Wang, Shirui; You, Chao Source: Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, v 323, 2008, Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
8. Structural health monitoring with fiber optic sensors
Ansari, F. (Dept. of Civil & Mater. Eng., Smart Sensors, Univ. of Illinois at Chicago, Chicago, IL, USA) Source: Frontiers of Mechanical Engineering in China, v 4, n 2, p 103-10, June 2009
9. On optimal sensor placement for structural health monitoring by subspace approximation
Li, D.S. (Dept. of Civil Engineering, Dalian University of Technology, 116023, China); Wang, G.X.; Li, H.N.; Ren, L.; Song, G.B. Source: Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, v 323, 2008, Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
10. Structural integrity monitoring index for ship and offshore structures
De Leeuw, B. (Plant Asset Management, Houston, TX, United States); Brennan, F.P. Source: Proceedings of MARSTRUCT 2009, 2nd International Conference on Marine Structures-Analysis and Design of Marine Structures, p 261-265, 2009, Proceedings of MARSTRUCT 2009, 2nd International Conference on Marine Structures - Analysis and Design of Marine Structures
11. Adaptive quadratic sum squares error with unknown inputs for damage identification of structures
Yang, Jann N. (Department of Civil and Environmental Engineering, University of California, Irvine, CA, United States); Huang, Hongwei Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 243, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
12. Intelligent structures and systems: Dream, reality, and future
Huang, Shang-Lian (Key Laboratory for Optoelectronic Technology and System, Education Ministry of China, Chongqing University, Chongqing, China) Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 3-15, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
13. Structural monitoring and design verification of Akashi Kaikyo bridge
Katsuchi, H. (Yokohama National University, Yokohama, 240-8501, Japan); Yamada, H.; Kusuhara, S. Source: Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, v 323, 2008, Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
14. Suitability of nondestructive testing methods for structural health monitoring of civil infrastructures
Alampalli, Sreenivas (Bridge Evaluation Services Bureau, New York Department of Transportation, 50 Wolf Road, Albany, NY 12232); Ettouney, Mohammed Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
15. Research of smart materials and structures at NUAA
Qiu, Jinhao (Aeronautical Key Laboratory for Smart Materials and Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China) Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 63-72, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
16. Utilization of strong motion accelerometers for real time monitoring of structural properties
Halling, Marvin W. (Utah State University, Logan, UT); Hansen, Zachary C.; Barr, Paul J.; Marchant, David Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
17. Distributed model updating in smart wireless monitoring systems
Zimmerman, Andrew (University of Michigan, Ann Arbor, MI); Lynch, Jerome P. Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
18. Long-term health monitoring of post-tensioning box girder bridges
Wang, Ming L. (University of Illinois-Chicago, Chicago, IL, United States) Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 41-48, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
19. Remote health monitoring adoption model based on artificial neural networks
Huang, Jui-Chen (Department of Health Business Administration, Hungkuang University, Taiwan) Source: Expert Systems with Applications, v 37, n 1, p 307-314, January 2010
20. Health monitoring systems for massive emergency situations
Smalls, Jordan; Wang, Yue; Li, Xi; Chen, Zehuang; Tang, K. Wendy Source: 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009, 2009, 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009
21. Bridge health monitoring system based on vibration measurements
Ntotsios, E. (Dept. of Mech. & Ind. Eng., Univ. of Thessaly, Volos, Greece); Papadimitriou, C.; Panetsos, P.; Karaiskos, G.; Perros, K.; Perdikaris, P. Source: Bulletin of Earthquake Engineering, v 7, n 2, p 469-83, May 2009
22. Long-term thermal performance of a CFRP-reinforced bridge deck
Bell, Erin Santini (University of New Hampshire, Kingsbury Hall, Durham, NH 03824); Sipple, Jesse; Yost, Joseph Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
23. Experiment on dynamic response of fiber optic Fabry-Perot sensors and its application in structural health monitoring
Zhang, Wentao (Key Lab. of Structure Health Monitoring and Control of Hebei Province, Shijiazhuang Railway Institute, Shijiazhuang, Hebei, China); Dai, Jingyun; Sun, Baochen; Du, Yanliang Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 504, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
24. Damage monitoring and life predication from nondestructive evaluation to structural health monitoring
Tian, Gui Yun (School of Electrical, Electronic and Computer Engineering, Newcastle University, United Kingdom); Wilson, John; Zhang, Binqiang; Haitao Wang Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 159, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
25. Artificial immune pattern recognition for structure damage classification
Chen, Bo (Department of Mechanical Engineering - Engineering Mechanics, Michigan Technological University, 815 R.L. Smith Building, 1400 Townsend Dr., Houghton, MI 49931, United States); Zang, Chuanzhi Source: Computers and Structures, v 87, n 21-22, p 1394-1407, November 2009
Sumitro, S. (Smart Structures LLC, IL, United States); Matsuda, H.; Itoh, Y.; Nishimura, S. Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 566-567, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
2. Structural health monitoring of a concrete column subjected shake table excitations using smart aggregates
Liao, W.I. (National Taipei University of Technology, Taipei, Taiwan); Gu, H.; Olmi, C.; Song, G.; Mo, Y.L.; Loh, C.H. Source: Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, v 323, 2008, Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
3. Structural health monitoring of bridges in the State of Connecticut
Liu, C. (WSP-SELLS Inc., Briarcliff Manor, NY, USA); Olund, J.; Cardini, A.; D'Attilio, P.; Feldblum, E.; DeWolf, J. Source: Earthquake Engineering and Engineering Vibration, v 7, n 4, p 427-37, Dec. 2008
4. Structural health monitoring with smart NDE technology
Lee, Seung-Seok (Safety Metrology Group, Korea Research Institute of Standards and Science, Korea, Republic of); Kwon, Il-Bum; Yoon, Dong-Jin Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 17-20, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
5. Optimal experimental design for structural health monitoring applications
Lam, H.F. (City University of Hong Kong, Department of Building and Construction, Hong Kong, Hong Kong); Papadimitriou, C.; Ntotsios, E. Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 238, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
6. A new impedance measurement system for PZT-based structural health monitoring
Baptista, Fabricio Guimarães (Department of Electrical Engineering, São Paulo State University (UNESP), São Paulo 15385-000, Brazil); Filho, Jozue Vieira Source: IEEE Transactions on Instrumentation and Measurement, v 58, n 10, p 3602-3608, 2009
7. A circuit design for piezoelectric impedance-based health monitoring
Zhao, Zhou (North Dakota State University, Fargo, ND 58105-5285, United States); Wang, Shirui; You, Chao Source: Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, v 323, 2008, Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
8. Structural health monitoring with fiber optic sensors
Ansari, F. (Dept. of Civil & Mater. Eng., Smart Sensors, Univ. of Illinois at Chicago, Chicago, IL, USA) Source: Frontiers of Mechanical Engineering in China, v 4, n 2, p 103-10, June 2009
9. On optimal sensor placement for structural health monitoring by subspace approximation
Li, D.S. (Dept. of Civil Engineering, Dalian University of Technology, 116023, China); Wang, G.X.; Li, H.N.; Ren, L.; Song, G.B. Source: Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, v 323, 2008, Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
10. Structural integrity monitoring index for ship and offshore structures
De Leeuw, B. (Plant Asset Management, Houston, TX, United States); Brennan, F.P. Source: Proceedings of MARSTRUCT 2009, 2nd International Conference on Marine Structures-Analysis and Design of Marine Structures, p 261-265, 2009, Proceedings of MARSTRUCT 2009, 2nd International Conference on Marine Structures - Analysis and Design of Marine Structures
11. Adaptive quadratic sum squares error with unknown inputs for damage identification of structures
Yang, Jann N. (Department of Civil and Environmental Engineering, University of California, Irvine, CA, United States); Huang, Hongwei Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 243, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
12. Intelligent structures and systems: Dream, reality, and future
Huang, Shang-Lian (Key Laboratory for Optoelectronic Technology and System, Education Ministry of China, Chongqing University, Chongqing, China) Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 3-15, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
13. Structural monitoring and design verification of Akashi Kaikyo bridge
Katsuchi, H. (Yokohama National University, Yokohama, 240-8501, Japan); Yamada, H.; Kusuhara, S. Source: Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, v 323, 2008, Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
14. Suitability of nondestructive testing methods for structural health monitoring of civil infrastructures
Alampalli, Sreenivas (Bridge Evaluation Services Bureau, New York Department of Transportation, 50 Wolf Road, Albany, NY 12232); Ettouney, Mohammed Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
15. Research of smart materials and structures at NUAA
Qiu, Jinhao (Aeronautical Key Laboratory for Smart Materials and Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China) Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 63-72, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
16. Utilization of strong motion accelerometers for real time monitoring of structural properties
Halling, Marvin W. (Utah State University, Logan, UT); Hansen, Zachary C.; Barr, Paul J.; Marchant, David Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
17. Distributed model updating in smart wireless monitoring systems
Zimmerman, Andrew (University of Michigan, Ann Arbor, MI); Lynch, Jerome P. Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
18. Long-term health monitoring of post-tensioning box girder bridges
Wang, Ming L. (University of Illinois-Chicago, Chicago, IL, United States) Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 41-48, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
19. Remote health monitoring adoption model based on artificial neural networks
Huang, Jui-Chen (Department of Health Business Administration, Hungkuang University, Taiwan) Source: Expert Systems with Applications, v 37, n 1, p 307-314, January 2010
20. Health monitoring systems for massive emergency situations
Smalls, Jordan; Wang, Yue; Li, Xi; Chen, Zehuang; Tang, K. Wendy Source: 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009, 2009, 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009
21. Bridge health monitoring system based on vibration measurements
Ntotsios, E. (Dept. of Mech. & Ind. Eng., Univ. of Thessaly, Volos, Greece); Papadimitriou, C.; Panetsos, P.; Karaiskos, G.; Perros, K.; Perdikaris, P. Source: Bulletin of Earthquake Engineering, v 7, n 2, p 469-83, May 2009
22. Long-term thermal performance of a CFRP-reinforced bridge deck
Bell, Erin Santini (University of New Hampshire, Kingsbury Hall, Durham, NH 03824); Sipple, Jesse; Yost, Joseph Source: Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders, v 314, 2008, Proceedings of the 2008 Structures Congress - Structures Congress 2008: Crossing the Borders
23. Experiment on dynamic response of fiber optic Fabry-Perot sensors and its application in structural health monitoring
Zhang, Wentao (Key Lab. of Structure Health Monitoring and Control of Hebei Province, Shijiazhuang Railway Institute, Shijiazhuang, Hebei, China); Dai, Jingyun; Sun, Baochen; Du, Yanliang Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 504, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
24. Damage monitoring and life predication from nondestructive evaluation to structural health monitoring
Tian, Gui Yun (School of Electrical, Electronic and Computer Engineering, Newcastle University, United Kingdom); Wilson, John; Zhang, Binqiang; Haitao Wang Source: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07, p 159, 2008, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST 07
25. Artificial immune pattern recognition for structure damage classification
Chen, Bo (Department of Mechanical Engineering - Engineering Mechanics, Michigan Technological University, 815 R.L. Smith Building, 1400 Townsend Dr., Houghton, MI 49931, United States); Zang, Chuanzhi Source: Computers and Structures, v 87, n 21-22, p 1394-1407, November 2009
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