• DocumentCode
    507053
  • Title

    Instantaneous Energy Spectrum Based Gear Fault Detection and Diagnosis

  • Author

    Li, Hui ; Zheng, Haiqi ; Tang, Liwei

  • Author_Institution
    Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    481
  • Lastpage
    485
  • Abstract
    A method for monitoring and diagnosis the gear fault according to instantaneous energy spectrum based on the newly developed empirical mode decomposition (EMD) scheme is presented. EMD can adaptively decompose the vibration signal into a series of zero mean oscillatory functions called intrinsic mode functions (IMFs). Hilbert transform can track the instantaneous amplitude and instantaneous frequency of the intrinsic mode functions at any instant. Then the instantaneous energy spectrum can be calculated based on the intrinsic mode functions. The instantaneous energy is thus associated with the deterioration in gear condition and can be utilized for gear damage detection. The experimental results show that instantaneous energy spectrum of the vibration signal is a sensitive indicator of the existence of damage in the gear transmission.
  • Keywords
    Hilbert transforms; condition monitoring; fault diagnosis; gears; vibrations; Hilbert transform; empirical mode decomposition; fault detection; fault diagnosis; gear damage detection; gear transmission; instantaneous energy spectrum; intrinsic mode functions; vibration signal; Cepstral analysis; Fault detection; Fault diagnosis; Fourier transforms; Frequency; Fuzzy systems; Gears; Signal analysis; Signal processing; Vibrations; Fault Detection; Instantaneous Energy Spectrum; gear; signal processing; vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.218
  • Filename
    5359220