• DocumentCode
    1800968
  • Title

    The study of the method about detection on throttle failure using the bispectrum

  • Author

    Cong, YuLiang ; Wang, Shuxun ; Zhao, Jiyin ; Bin, He

  • Author_Institution
    Inf. Coll., Jilin Univ. of Technol., Changchun, China
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    236
  • Abstract
    The detection of non-Gaussian signal in additive Gaussian noise using bispectrum is a matter of practical interest in many areas, such as throttle failure detection and so on. An ARMA model of a nonload gasoline engine which works on little throttle valve opening is given. The detection approach of engine speed sensor and throttle sensor failure based on the model is elaborated which is employed by the electric control system in the period of shifting. When there is no failure, the residual between the series of ARMA model of throttle (nonload engine) and the measuring data series of engine speeding and throttle should be Gaussian, the mean of it is zero, otherwise it should be non-Gaussian. Then we can use the bispectrum to detect the failure of the engine speed sensor and throttle sensor
  • Keywords
    Gaussian noise; automotive electronics; autoregressive moving average processes; electric sensing devices; failure analysis; internal combustion engines; signal detection; spectral analysis; ARMA model; additive Gaussian noise; bispectrum; electric control system; engine speed sensor; engine speeding; measuring data series; non-Gaussian signal detection; nonload gasoline engine; throttle failure detection; throttle sensor failure; throttle valve opening; Array signal processing; Control system synthesis; Educational institutions; Engines; Petroleum; Sensor systems; System identification; Valves; Velocity measurement; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
  • Conference_Location
    Changchun
  • Print_ISBN
    0-7803-5296-3
  • Type

    conf

  • DOI
    10.1109/IVEC.1999.830673
  • Filename
    830673