Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76222
Title: Dependable structural health monitoring using wireless sensor networks
Authors: Bhuiyan, MZA
Wang, GJ
Wu, J
Cao, JN 
Liu, XF 
Wang, T
Keywords: Wireless sensor networks
Structural health monitoring
Dependability
Fault detection
Fault-tolerance
Energy-efficiency
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on dependable and secure computing, 2017, v. 14, no. 4, p. 363-376 How to cite?
Journal: IEEE transactions on dependable and secure computing 
Abstract: As an alternative to current wired-based networks, wireless sensor networks (WSNs) are becoming an increasingly compelling platform for engineering structural health monitoring (SHM) due to relatively low-cost, easy installation, and so forth. However, there is still an unaddressed challenge: the application-specific dependability in terms of sensor fault detection and tolerance. The dependability is also affected by a reduction on the quality of monitoring when mitigating WSN constrains (e.g., limited energy, narrow bandwidth). We address these by designing a dependable distributed WSN framework for SHM (called DependSHM) and then examining its ability to cope with sensor faults and constraints. We find evidence that faulty sensors can corrupt results of a health event (e.g., damage) in a structural system without being detected. More specifically, we bring attention to an undiscovered yet interesting fact, i.e., the real measured signals introduced by one or more faulty sensors may cause an undamaged location to be identified as damaged (false positive) or a damaged location as undamaged (false negative) diagnosis. This can be caused by faults in sensor bonding, precision degradation, amplification gain, bias, drift, noise, and so forth. In DependSHM, we present a distributed automated algorithm to detect such types of faults, and we offer an online signal reconstruction algorithm to recover fromthe wrong diagnosis. Through comprehensive simulations and a WSN prototype system implementation, we evaluate the effectiveness of DependSHM.
URI: http://hdl.handle.net/10397/76222
ISSN: 1545-5971
EISSN: 1941-0018
DOI: 10.1109/TDSC.2015.2469655
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

11
Citations as of May 12, 2018

WEB OF SCIENCETM
Citations

14
Last Week
1
Last month
Citations as of May 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.