Wireless structural monitoring for homeland security applications

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5395, Issue , 2004, Pages 82-90

  Kiremidjian, Garo K ^a   Kiremidjian, Anne ^b   Lynch, Jerome P ^c  

^a Sensametrics Inc   (United States)

^b Stanford University   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Damage assessment; Homeland security; Structural monitoring; Wireless sensing

Indexed keywords

DAMAGE ASSESSMENT; HOMELAND SECURITY; STRUCTURAL MONITORING; WIRELESS SENSING;

ALGORITHMS; INFORMATION DISSEMINATION; INTELLIGENT AGENTS; MONITORING; ROBUSTNESS (CONTROL SYSTEMS); SECURITY OF DATA; SENSORS;

RADIO;

EID: 5544325544     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.539946     Document Type: Conference Paper

References (7)

1. Straser, E. and Kiremidjian, A. "A Modular Wireless Damage Monitoring System for Structures", The John A. Blume Earthquake Engineering Center Technical Report No. 128, Dept. of Civil Engineering, Stanford University, Stanford, CA, Sept1998.
2. Sohn, H., Dzwonczik, M., Straser, E. G., Kiremidjian, A. S., Law, K. H., and Meng, T. (1998). "An Experimental Study of Temperature Effect on Modal Parameters of the Alamosa Canyon Bridge", Earthquake Engineering and Structural Dynamics, Vol. 28, pp. 979-897.
3. Niblock, T., Surangalikar, H, Morse, J. and Laskowski, B. 2002, Development of Commercial Micro Corrosion Monitoring System, Proceedings of the SPIE 2002 Conference, Melbourne, Australia
4. th International Conference on Statistics and Probability in Civil Engineering, San Francisco, CA.
5. Sohn, H and Farrar, C. R. 2001. Damage Diagnosis Using Time Series Analysis of Vibration Signals. Smart Materials & Structures, 10 (3), pp. 446-451.
6. Worden, K., Allen, D.W., Sohn, H., Stinematers, D. and Farrar C. R. 2002. Extreme Value Statistics for Damage detection in Mechanical Structures. Los Alamos National Laboratory Report, LA-13903-MS
7. Farrar C R, Duffey T A, Doebling S W and Nix D A. 2000. Statistical pattern recognition paradigm for vibration-based structural health monitoring. Proc. 2nd Int. Workshop on Structural Health Monitoring, Stanford, CA, September 8-10, 2000, 764-773