• DocumentCode
    2160155
  • Title

    Characteristics of Detect Index for Structural Small Damage Based on Wavelet Analysis Under Strong Background Noise

  • Author

    Liang, Rongna ; Yan, Yunju ; Xi, Zhuyou

  • Author_Institution
    Sch. of Mech., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a study on the effect of input noise on the detect index of structural damage. The main procedures include that, for some structures with small damage, the different dynamics response are obtained under the given input function and various input noise level, and then, the structural damage index is constructed using the energy spectrum of the sub-signal decomposed by wavelet analysis. Results show that the relationship between the different input noise level and the damage index is nonlinear, and some optimal signal/noise ratio can be found in order to obtain the most sensitive damage index to small structural damage.
  • Keywords
    signal processing; structural engineering; vibrations; wavelet transforms; background noise; input function; input noise level; structural damage detect index; sub-signal decomposition; wavelet analysis; Automotive engineering; Background noise; Noise level; Signal analysis; Signal processing; Signal to noise ratio; Vehicle detection; Vehicle dynamics; Wavelet analysis; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304279
  • Filename
    5304279