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Structural damage detection and localization using NETSHM

  • Krishna Chintalapudi
  • , Tat S. Fu
  • , Ramesh Govindan
  • , Jeongyeup Paek
  • , Karthik Dantu
  • , Erik Johnson
  • , Omprakash Gnawali
  • , John Caffrey
  • , Sami Masri
  • University of Southern California

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

59 Scopus citations

Abstract

Structural health monitoring (SHM) is an important application area for wireless sensor networks. SHM techniques attempt to autonomously detect and localize damage in large civil structures. Structural engineers often implement and test SHM algorithms in a higher level language such as C/Matlab. In this paper, we describe the design and evaluation of NETSHM, a sensor network system that allows structural engineers to program SHM applications in Matlab or C at a high level of abstraction. In particular, structural engineers do not have to understand the intricacies of wireless networking, or the details of sensor data acquisition. We have implemented a damage detection technique and a damage localization technique on a complete NETSHM prototype. Our experiments on small and medium-scale structures show that NETSHM is able to detect and localized damage perfectly with very few false-positives and no false negatives, and that it is robust even in realistic wireless environments.

Original languageEnglish
Title of host publicationProceedings of the Fifth International Conference on Information Processing in Sensor Networks, IPSN '06
Pages475-482
Number of pages8
DOIs
StatePublished - 2006
EventFifth International Conference on Information Processing in Sensor Networks, IPSN '06 - Nashville, TN, United States
Duration: Apr 19 2006Apr 21 2006

Publication series

NameProceedings of the Fifth International Conference on Information Processing in Sensor Networks, IPSN '06
Volume2006

Conference

ConferenceFifth International Conference on Information Processing in Sensor Networks, IPSN '06
Country/TerritoryUnited States
CityNashville, TN
Period04/19/0604/21/06

Keywords

  • Structural health monitoring
  • Wireless sensor networks

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