• DocumentCode
    1619918
  • Title

    Study on the detection of misfiring cylinder in a shipping multi-cylinder diesel engine using aggregative learning method

  • Author

    Kawamura, Y. ; Ujihira, M. ; Nagayama, M. ; Aoshima, N. ; Ito, F. ; Akhmetov, D.

  • Author_Institution
    Tsukuba Univ., Ibaraki, Japan
  • Volume
    1
  • fYear
    2004
  • Firstpage
    485
  • Abstract
    In this study, a minimum number of sensors are applied on the side of two cylinders on the diesel engine in order to build an abnormal diagnosis system which detects anomaly behavior at an early stage by analyzing the acceleration waveform using the ALM method. This measurement system can be applied to the ship afterwards and by using the satellite phone system to transfer the data, it is possible to manage the state of the engine from an office on land without the usage of a personal computer system on board.
  • Keywords
    acceleration measurement; diesel engines; fault diagnosis; learning (artificial intelligence); sensor fusion; ships; ALM method; abnormal diagnosis system; acceleration waveform; aggregative learning method; data transfer; measurement system; misfiring cylinder detection; multiple sensors; personal computer system; satellite phone system; shipping multicylinder diesel engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2004 Annual Conference
  • Conference_Location
    Sapporo
  • Print_ISBN
    4-907764-22-7
  • Type

    conf

  • Filename
    1491450