• DocumentCode
    2139185
  • Title

    Bearings Fault Detection and Diagnosis Using Envelope Spectrum of Laplace Wavelet Transform

  • Author

    Li, Hui ; Fu, Lihui ; Zheng, Haiqi

  • Author_Institution
    Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Envelope spectrum analysis is widely used to detection bearing localized fault. In order to overcome the shortcomings in the traditional envelope analysis in which manually specifying a resonant frequency band is required, a new approach based on the fusion of the Laplace wavelet transform and envelope spectrum is proposed for detection and diagnosis defects in rolling element bearings. This approach is capable of completely extracting the characteristic fault frequencies related to the defect. Experiment results show that the proposed approach is sensitive and reliable in detecting defects on the inner race and outer race of bearings.
  • Keywords
    Laplace transforms; fault diagnosis; magnetic resonance; rolling bearings; spectral analysis; vibrations; wavelet transforms; Laplace wavelet transform; defect detection; defect diagnosis; envelope spectrum analysis; fault detection; fault diagnosis; fault frequency; resonant frequency band; rolling element bearings; vibration; Ball bearings; Envelope detectors; Fault detection; Fault diagnosis; Resonance; Resonant frequency; Rolling bearings; Signal analysis; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5303485
  • Filename
    5303485