• DocumentCode
    1289680
  • Title

    Validation of HDOP Measure for Impact Detection in Sensor Network-Based Structural Health Monitoring

  • Author

    Akopian, David ; Melkonyan, Arsen ; Chen, C. L Philip

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
  • Volume
    9
  • Issue
    9
  • fYear
    2009
  • Firstpage
    1098
  • Lastpage
    1102
  • Abstract
    This paper studies the validity of horizontal dilution of precision (HDOP) measure to evaluate sensor network geometries when localizing impacts in structural health monitoring (SHM). First, HDOP is defined similarly to navigation applications. Even though several low-complexity closed-form solutions have been proposed recently, HDOP measure has been theoretically justified only for iterative least-squares approach. The localization errors of popular impact localization methods are experimentally collected and compared with HDOP data for validation. The experimental setup is also described. It is shown that HDOP, in general, correlates with the positioning error and can be used to characterize geometry.
  • Keywords
    aircraft; condition monitoring; impact (mechanical); iterative methods; least squares approximations; sensor fusion; structural engineering; acoustic position measurement; horizontal dilution of precision validation; impact location detection; iterative least-squares approach; sensor network geometries; sensor network-based structural health monitoring; Acoustic sensors; Closed-form solution; Computer vision; Distance measurement; Equations; Geometry; Iterative methods; Monitoring; Navigation; Position measurement; Acoustic position measurement; acoustic radiators; position measurement;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2026002
  • Filename
    5196876