• DocumentCode
    2465675
  • Title

    Structural damage localization with tolerance to large time synchronization errors in WSNs

  • Author

    Yan, Guirong ; Dyke, Shirley J. ; Song, Wei ; Hackmann, Gregory ; Lu, Chenyang

  • Author_Institution
    Dept. of Mech., Aerosp., & Struct. Eng. (MASE), Washington Univ., St. Louis, MO, USA
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    3926
  • Lastpage
    3931
  • Abstract
    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.
  • Keywords
    beams (structures); condition monitoring; distortion; flaw detection; numerical analysis; structural engineering; wireless sensor networks; civil infrastructures; distortion; flexibility-based damage detection approach; numerical simulation; simply supported beam; smart sensor platforms; structural condition monitoring; structural damage localization; time synchronization error; wireless sensor networks; Clocks; Condition monitoring; Frequency synchronization; Levee; Matrix decomposition; Sensor phenomena and characterization; Shape; System identification; Wireless application protocol; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5160164
  • Filename
    5160164