• DocumentCode
    2768526
  • Title

    Multiresolution wavelet-based approach to identification of modal parameters of a vehicle full-scale crash test

  • Author

    Pawlus, Witold ; Karimi, Hamid Reza ; Robbersmyr, Kjell G.

  • Author_Institution
    Dept. of Eng., Univ. of Agder, Grimstad, Norway
  • fYear
    2012
  • fDate
    3-5 Oct. 2012
  • Firstpage
    1172
  • Lastpage
    1177
  • Abstract
    In this work estimation of vehicle modal parameters was achieved by application of a wavelet-based method. The time-frequency analysis, which comprises those techniques that study a signal in both the time and frequency domains simultaneously, using Morlet wavelet properties are applied to the measured acceleration pulse of the colliding vehicle. Determination of the ridge of the wavelet coefficients matrix makes it possible to identify the frequency components of the recorded crash pulse. Subsequently, by using the estimated natural frequency of the system, the values of damping factor for a given mode shape are assessed. In this work there are concerned both: the major frequencies of the crash pulse and damping factor for the major mode shape.
  • Keywords
    acceleration measurement; damping; impact testing; matrix algebra; mechanical engineering computing; modal analysis; parameter estimation; time-frequency analysis; vehicle dynamics; wavelet transforms; Morlet wavelet properties; acceleration pulse measurement; colliding vehicle; crash pulse; damping factor; frequency component; frequency domain; multiresolution wavelet-based approach; natural frequency; time domain; time-frequency analysis; vehicle full-scale crash test; vehicle modal parameter identification; wavelet coefficient matrix; Acceleration; Autoregressive processes; Damping; Vehicle crash testing; Vehicles; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control (ISIC), 2012 IEEE International Symposium on
  • Conference_Location
    Dubrovnik
  • ISSN
    2158-9860
  • Print_ISBN
    978-1-4673-4598-9
  • Electronic_ISBN
    2158-9860
  • Type

    conf

  • DOI
    10.1109/ISIC.2012.6398258
  • Filename
    6398258