Title | ||
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Structural damage localization with tolerance to large time synchronization errors in WSNs |
Abstract | ||
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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. |
Year | DOI | Venue |
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2009 | 10.1109/ACC.2009.5160164 | ACC'09 Proceedings of the 2009 conference on American Control Conference |
Keywords | DocType | ISSN |
structural damage localization,frequent sensor synchronization,strict time synchronization,resulting mode shape,flexibility-based damage detection approach,large time synchronization error,mode shape,smart sensor platform,modal identification,incorrect identification,structural condition monitoring,accurate time synchronization,numerical analysis,levee,wireless sensor networks,wireless application protocol,numerical simulation,wireless sensor network,structural engineering,simply supported beam,system identification,shape,distortion,matrix decomposition | Conference | 0743-1619 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guirong Yan | 1 | 97 | 6.55 |
Shirley Dyke | 2 | 49 | 8.18 |
Wei Song | 3 | 0 | 0.68 |
Gregory Hackmann | 4 | 565 | 33.55 |
Chenyang Lu | 5 | 6474 | 385.38 |