• DocumentCode
    393662
  • Title

    Fault detection using multi-order conditional probability density distribution

  • Author

    Kumagai, Shusuke ; Takayama, Jim-Ya ; Ohyama, Shinji ; Kobayashi, Akira

  • Author_Institution
    Dept. of Control & Syst. Eng., Tokyo Inst. of Technol., Japan
  • Volume
    4
  • fYear
    2002
  • fDate
    5-7 Aug. 2002
  • Firstpage
    2116
  • Abstract
    The vibration of machines in abnormal condition contains some fault symptoms. In this research, in order to detect the fault as soon as possible, a signal processing method is proposed which focuses on the conditional probability of the fault signal value in the time domain. Furthermore, the proposed method is applied to an experiment, and its validity is confirmed.
  • Keywords
    fault diagnosis; probability; signal processing; abnormal condition; fault detection; fault signal; fault symptom; fault waveform; multiorder conditional probability density distribution; signal processing method; time domain; Control systems; Fault detection; Gaussian processes; Performance analysis; Shape; Signal analysis; Signal generators; Signal processing; Tiles; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2002. Proceedings of the 41st SICE Annual Conference
  • Print_ISBN
    0-7803-7631-5
  • Type

    conf

  • DOI
    10.1109/SICE.2002.1195723
  • Filename
    1195723
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=393662