• DocumentCode
    2042642
  • Title

    Bearing fault detection based on instantaneous energy spectrum

  • Author

    Li, Hui

  • Author_Institution
    Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2594
  • Lastpage
    2598
  • Abstract
    A novel method for detection and diagnosis the bearing fault according to instantaneous energy spectrum (IES) based on empirical mode decomposition (EMD) method 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 bearing condition and can be utilized for bearing fault detection. The experimental results show that instantaneous energy spectrum is a sensitive indicator of the existence of damage in the gearbox.
  • Keywords
    Hilbert transforms; acoustic signal processing; condition monitoring; fault diagnosis; gears; machine bearings; vibrations; EMD method; Hilbert transform; bearings; deterioration; empirical mode decomposition; fault detection; fault diagnosis; gearbox; instantaneous amplitude; instantaneous energy spectrum; instantaneous frequency; intrinsic mode functions; vibration signal; zero mean oscillatory functions; Fault detection; Fault diagnosis; Time frequency analysis; Transforms; Transient analysis; Vibrations; Wavelet analysis; bearing; empirical mode decomposition; fault detection; instantaneous energy spectrum; vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569849
  • Filename
    5569849