• DocumentCode
    1640498
  • Title

    Knocking recognition in engine vibration signal using the wavelet transform

  • Author

    Molinaro, F. ; Castanié, F. ; Denjean, A.

  • Author_Institution
    ENSEEIH, Toulouse, France
  • fYear
    1992
  • Firstpage
    353
  • Lastpage
    356
  • Abstract
    The authors propose pattern recognition using wavelet parameters for detecting a physical signal, i.e., knocking, in engine vibration. It is shown that wavelet transform parameters of the vibration signal improve knocking detection, especially at high speed, for slow signal-to-noise ratio (SNR). The knocking signal is characterized by the sum of several resonance frequencies. This method should give good results for other signals which have the same characteristics
  • Keywords
    automobiles; pattern recognition; vibrations; wavelet transforms; SNR; engine vibration signal; knocking signal recognition; pattern recognition; resonance frequencies; slow signal-to-noise ratio; wavelet parameters; wavelet transform; Combustion; Continuous wavelet transforms; Detectors; Discrete wavelet transforms; Engines; Pattern recognition; Resonance; Resonant frequency; Signal to noise ratio; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0805-0
  • Type

    conf

  • DOI
    10.1109/TFTSA.1992.274166
  • Filename
    274166