• DocumentCode
    2953179
  • Title

    Knock detection based on SOM

  • Author

    Lazarescu, Dan ; Lazarescu, Vasile ; Ungureanu, Mihaela

  • Author_Institution
    Politehnica Univ., Bucharest, Romania
  • fYear
    2004
  • fDate
    23-25 Sept. 2004
  • Firstpage
    117
  • Lastpage
    120
  • Abstract
    A new method based on self organizing maps (SOM) is proposed for knock detection. The method differs from the other existing methods in that the wavelet coefficients are computed and further, some statistical parameters. The computed parameters are then applied to a SOM in order to classify the engine cycles as affected by knock or not affected cycles. Once a cycle has been detected as a knock containing one, for the next cycle the engine can be protected in order to avoid further appearances of knock.
  • Keywords
    internal combustion engines; mechanical engineering computing; self-organising feature maps; statistical analysis; wavelet transforms; SOM; engine cycle classification; knock detection; self organizing maps; statistical parameters; wavelet coefficients; Combustion; Discrete wavelet transforms; Engines; Frequency; Ignition; Resonance; Signal resolution; Vibration measurement; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on
  • Print_ISBN
    0-7803-8547-0
  • Type

    conf

  • DOI
    10.1109/NEUREL.2004.1416551
  • Filename
    1416551