• DocumentCode
    2343755
  • Title

    Structural damage detection and localization using NETSHM

  • Author

    Chintalapudi, Krishna ; Paek, Jeongyeup ; Gnawali, Omprakash ; Fu, Tat S. ; Dantu, Karthik ; Caffrey, John ; Govindan, Ramesh ; Johnson, Erik ; Masri, Sami

  • Author_Institution
    Univ. of Southern California, Los Angeles, CA
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    475
  • Lastpage
    482
  • 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 Mat-lab 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
  • Keywords
    C language; mathematics computing; monitoring; structural engineering; wireless sensor networks; C program; Matlab; NETSHM; damage localization technique; higher level language; structural damage detection technique; structural engineer; structural health monitoring; wireless sensor network; Data acquisition; Data engineering; Design engineering; Monitoring; Prototypes; Robustness; Sensor phenomena and characterization; Sensor systems and applications; Testing; Wireless sensor networks; Wireless sensor networks; structural health monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2006. IPSN 2006. The Fifth International Conference on
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    1-59593-334-4
  • Type

    conf

  • DOI
    10.1109/IPSN.2006.243936
  • Filename
    1662493