DocumentCode
2465675
Title
Structural damage localization with tolerance to large time synchronization errors in WSNs
Author
Yan, Guirong ; Dyke, Shirley J. ; Song, Wei ; Hackmann, Gregory ; Lu, Chenyang
Author_Institution
Dept. of Mech., Aerosp., & Struct. Eng. (MASE), Washington Univ., St. Louis, MO, USA
fYear
2009
fDate
10-12 June 2009
Firstpage
3926
Lastpage
3931
Abstract
With recent technological advances in smart sensor platforms, structural condition monitoring implementations based on Wireless Sensor Networks (WSNs) have received considerable attention. Modal identification is an integral step in many structural condition monitoring systems. However, accurate time synchronization is not always possible, leading to incorrect identification of the mode shapes. Although strict time synchronization of the wireless sensors has been viewed as crucial for the identification of mode shapes, a new perspective is taken herein. The distortion in the identified mode shapes is characterized and accommodated. Then the resulting mode shapes are used with a flexibility-based damage detection approach to localize damage to the exact elements. Numerical simulations considering a simply supported beam are used to demonstrate that the requirement of frequent sensor synchronization can be relaxed with this approach, without sacrificing accuracy in the results.
Keywords
beams (structures); condition monitoring; distortion; flaw detection; numerical analysis; structural engineering; wireless sensor networks; civil infrastructures; distortion; flexibility-based damage detection approach; numerical simulation; simply supported beam; smart sensor platforms; structural condition monitoring; structural damage localization; time synchronization error; wireless sensor networks; Clocks; Condition monitoring; Frequency synchronization; Levee; Matrix decomposition; Sensor phenomena and characterization; Shape; System identification; Wireless application protocol; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5160164
Filename
5160164
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