Experimental deployment and validation of a distributed SHM system using wireless sensor networks

Castaneda, Nestor; Dyke, Shirley J.; Lu, Chenyang; Sun, Fei; Hackmann, Greg

doi:10.12989/sem.2009.32.6.787

Cited by 3 publications

(2 citation statements)

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“…After an integer (M) multiple of 2 h periods At the reference sensor node t = 2 h × 60 min h −1 × 60 s min −1 t = M × 2 h × 60 min h −1 × 60 s min −1 At the ith sensor node t i = t + α i t + δt i t i = t + α i t + δt i TSE at the beginning of next block of data sensing TSE = t i − t = α i × 2 × 60 × 60 s + δt i TSE = t i − t = α i × M × 2 × 60 × 60 s + δt i measurement points in a SHM system becomes quite feasible with WSNs. Researchers have successfully implemented these networks with a variety of damage detection strategies on several systems [4][5][6][7][8][9].…”

Section: After the First 2 Hmentioning

confidence: 99%

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Structural damage detection robust against time synchronization errors

Yan

Dyke

2010

Smart Mater. Struct.

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Structural damage detection based on wireless sensor networks can be affected significantly by time synchronization errors among sensors. Precise time synchronization of sensor nodes has been viewed as crucial for addressing this issue. However, precise time synchronization over a long period of time is often impractical in large wireless sensor networks due to two inherent challenges. First, time synchronization needs to be performed periodically, requiring frequent wireless communication among sensors at significant energy cost. Second, significant time synchronization errors may result from node failures which are likely to occur during long-term deployment over civil infrastructures. In this paper, a damage detection approach is proposed that is robust against time synchronization errors in wireless sensor networks. The paper first examines the ways in which time synchronization errors distort identified mode shapes, and then proposes a strategy for reducing distortion in the identified mode shapes. Modified values for these identified mode shapes are then used in conjunction with flexibility-based damage detection methods to localize damage. This alternative approach relaxes the need for frequent sensor synchronization and can tolerate significant time synchronization errors caused by node failures. The proposed approach is successfully demonstrated through numerical simulations and experimental tests in a lab.

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Section: After the First 2 Hmentioning

confidence: 99%

“…To this end, effective damage detection algorithms must be integrated into these SHM systems. 4 Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%