• DocumentCode
    2455847
  • Title

    Wavelet Based Structure Damage Detection

  • Author

    Medda, Alessio ; DeBrunner, Victor ; Mish, Kyran

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    574
  • Lastpage
    578
  • Abstract
    In structural health monitoring (SHM), the Fourier transform (FT) is a classical tool for spectrum estimation. Because of the low sensitivity of the FT to local structural damages, the wavelet packet transform (WPT) is used. The WPT describes the signal in a localized time (or space) and frequency (or scale) domain and a level-by-level decomposition of the signal is obtained. Then, the energy distribution of the signals at the bottom of the WPT decomposition tree can be used to identify changes in energy between frequency bands, a behavior that can be associated with damage in the structure. The validation of this theory is obtained with a finite element model (FEM) of a simply supported beam implemented in Matlabreg.
  • Keywords
    beams (structures); condition monitoring; finite element analysis; flaw detection; time-frequency analysis; wavelet transforms; Matlab; SHM; WPT decomposition tree; energy distribution; finite element model; level-by-level signal decomposition; simply supported beam; spectrum estimation; structural health monitoring; structure damage detection; time-frequency domain; wavelet packet transform; Computer languages; Finite element methods; Fourier transforms; Frequency; Mathematical model; Monitoring; Signal processing; Spectral analysis; Wavelet packets; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354813
  • Filename
    4176623