ref

1. Simple fiber Bragg grating sensing systems for structural health monitoring
Tosi, D. (Dept. of Electron., Politec. di Torino, Torino, Italy); Olivero, M.; Perrone, G.; Vallan, A.; Arcudi, L. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 80-6, 2009
2. Long term operational modal analysis of a stadium grandstand to structural health monitoring purposes
Vanali, M. (Dipt. di Meccanica, Politec. di Milano, Milan, Italy); Cigada, A. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 103-9, 2009
3. High resolution, dynamic strain measurements with continuous fiber Bragg gratings for structural health monitoring
Sang, A. (Luna Innovations Inc., Roanoke, VA, USA); Marsden, K.; Wolfe, M.; Gifford, D.; Froggatt, M.; Soller, B. Source: 2009 IEEE Avionics, Fiber-Optics and Phototonics and Photonics Technology Conference. AVFOP 2009, p 29-31, 2009
4. Guided wave excitation by a CLoVER transducer for structural health monitoring: theory and experiments
Salas, K.I. (Dept. of Aerosp. Eng., Univ. of Michigan, Ann Arbor, MI, USA); Cesnik, C.E.S. Source: Smart Materials and Structures, v 18, n 7, p 075005 (27 pp.), July 2009
5. 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009
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6. Optical fiber sensors for long- and short-term crack monitoring
Casalicchio, M.L. (Dept. of Electron., Politec. di Torino, Turin, Italy); Penna, A.; Perrone, G.; Vallan, A. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 87-92, 2009
7. Sensor data collecting system for railway facilities
Watanabe, Y. (Railway Technical Research Institute, Facilities Management Systems, Kokubunji-shi, Tokyo, Japan); Sato, N.; Tsuchiya, R. Source: WIT Transactions on the Built Environment, v 108, p 647-658, 2009, Safety and Security Engineering III Language: English
8. Research on signal processing for bridge health monitoring
Chen, Jing (School of Automation, Wuhan University of Technology, WuHan, HuBei, 430070, China); Wan, Chun; Xiao, Chun; Li, Liqiao Source: ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, p 4338-4342, 2009, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments Language: English
9. Investigation of wind turbine blade monitoring based on optical fiber Brillouin sensor
Furong Zhang (Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China); Yongqian Li; Zhi Yang; Liping Zhang Source: 2009 International Conference on Sustainable Power Generation and Supply. SUPERGEN 2009, p 4 pp., 2009
10. Research on monitoring technology of bolt tightness degree based on wavelet analysis
Bao, Peng-Yu (Department of Automation Science and Electrical Engineering, BeiHang University, 100191 Beijing, China); Yuan, Mei; Fu, Zhong Source: ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, p 4329-4333, 2009, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments Language: English
11. Real-Time monitoring of hurricane winds using wireless and sensor technology
Otero, Carlos E. (Florida Institute of Technology/Electrical and Computer Engineering, Melbourne, FL, United States); Velazquez, Antonio; Kostanic, Ivica; Subramanian, Chelakara; Pinelli, Jean-Paul; Buist, Larry Source: Journal of Computers, v 4, n 12, p 1275-1285, December 2009 Language: English
12. Air quality control for health care centres. The application of an intelligent distributed system
Di Lecce, V. (DIASS, Taranto, Italy); Amato, A.; Martines, C.; di Bari, P.; Dario, R. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 27-30, 2009
13. Multi-channel data-acquisition and controller for mobile health monitoring system with HSDPA and GPS
Wu, Yu-Chi (Department of Electrical Engineering, National United University); Chen, Pei-Fen Source: 2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009, p 227-231, 2009, 2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009 Language: English
14. A method of high efficiency ultrasonic excitation
Zhixue, Shao (Nanjing Engineering Institute, No. 1 Haifuxiang, Nanjing 210007, China); Lihua, Shi; Haitao, Zhang; Qin, Yin Source: ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, p 1479-1482, 2009, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments Language: English
15. Study on genetic algorithm used in damage identification
Du, Chong (School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China); Yuan, Mei; You, Qiang Source: ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, p 1404-1407, 2009, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments Language: English
16. Smart high-performance materials for the multi-hazard protection of civil infrastructure
Messervey, T.B. (D'Appolonia S.p.A., Genova, Italy); Zangani, D.; Casciati, S. Source: WIT Transactions on the Built Environment, v 108, p 21-30, 2009, Safety and Security Engineering III Language: English
17. Studies on methodological developments in structural damage identification
Srinivas, V. (Structural Engineering Research Centre (Council of Scientific and Industrial Research), CSIR Campus, TTTI(Post), Taramani, Chennai-600 113, India); Sasmal, Saptarshi; Ramanjaneyulu, K. Source: SDHM Structural Durability and Health Monitoring, v 5, n 2, p 133-160, 2009 Language: English
18. A Lamb-wave-based technique for damage detection in composite laminates
Ng, C.T. (Sch. of Eng., Univ. of Queensland, Brisbane, QLD, Australia); Veidt, M. Source: Smart Materials and Structures, v 18, n 7, p 074006 (12 pp.), July 2009
19. Tensile fatigue properties of fibre Bragg grating optical fibre sensors
Ang, J. (School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, GPO Box 2476V, Melbourne, Vic. 3001, Australia); Li, H.C.H.; Herszberg, I.; Bannister, M.K.; Mouritz, A.P. Source: International Journal of Fatigue, v 32, n 4, p 762-768, April 2010 Language: English
20. Progressive collapse of a two-story reinforced concrete frame with embedded smart aggregates
Laskar, A. (Dept. of Civil & Environ. Eng., Univ. of Houston, Houston, TX, USA); Haichang Gu; Mo, Y.L.; Gangbing Song Source: Smart Materials and Structures, v 18, n 7, p 075001 (10 pp.), July 2009
21. Evaluation of long-term exposure to pollutants by means of a dispersion model
Latini, G. (Dipt. di Energetica, Univ. Politec. delle Marche, Ancona, Italy); Passerini, G.; Principi, F. Source: 2009 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems. EESMS 2009, p 31-8, 2009
22. Temperature sensitivity assessment of vibration-based damage identification techniques
Serker, N.H.M. Kamrujjaman (Department of Urban and Civil Engineering, Ibaraki University, 4-12-1 NakaNarusawa, Hitachi, Ibaraki 316-0036, Japan); Wu, Zhishen Source: SDHM Structural Durability and Health Monitoring, v 5, n 2, p 87-107, 2009 Language: English
23. Fatigue crack growth modelling of aluminium alloy under constant and variable amplitude loadings
Abdullah, S. (Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia); Beden, S.M.; Ariffin, A.K.; Al-Asady, N.A. Source: SDHM Structural Durability and Health Monitoring, v 5, n 2, p 109-131, 2009 Language: English
24. A simple model for the evaluation of constitutive laws for the computer simulation of fatigue-driven delamination in composite materials
Galvanetto, Ugo (Department of Aeronautics, Imperial College London, South Kensington Campus, South Kensington SW7 2AZ, United Kingdom); Robinson, Paul; Cerioni, Agostino; Armas, Carlos Lopez Source: SDHM Structural Durability and Health Monitoring, v 5, n 2, p 161-189, 2009 Language: English
25. Precision of syndesmophyte volume measurement for ankylosing spondylitis: a phantom study using high resolution CT
Tan, S. (Clinical Center, Nat. Institutes of Health, Bethesda, MD, USA); Jianhua Yao; Yao, L.; Ward, M.M. Source: 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. EMBC 2009, p 3577-80, 2009