• DocumentCode
    2896003
  • Title

    A comparative study of multiple tests based techniques for optimal sensor location for knock detection

  • Author

    Zoubir, A.M.

  • Author_Institution
    Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia
  • Volume
    5
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    2951
  • Abstract
    A comparative study of techniques for finding optimal sensor positions in a group of vibration sensors for knock detection in spark ignition engines is presented. The methods assume the transmission of the acoustical oscillations in the combustion chamber to the engine housing to be time invariant and linear. Based on this model, suitable multiple tests have been performed to reject sequentially irrelevant sensors from the sensor group under consideration. It was found in various simulations that two of the proposed methods that do not assume any probability distribution of the data lead to the expected results. In a real experiment performed on a test bed using a four cylinder spark ignition engine, the two methods reveal the same optimal sensor location for monitoring knock in two cylinders at three different speeds
  • Keywords
    accelerometers; internal combustion engines; optimisation; sensors; signal processing; vibration measurement; acoustical oscillations; combustion chamber; engine housing; four cylinder spark ignition engine; knock detection; multiple tests; optimal sensor location; probability distribution; spark ignition engines; vibration sensor; Acoustic sensors; Acoustic signal detection; Acoustic testing; Combustion; Engine cylinders; Ignition; Performance evaluation; Probability distribution; Sequential analysis; Sparks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479464
  • Filename
    479464