• DocumentCode
    1681904
  • Title

    Complex Morlet wavelet amplitude and phase map based bearing fault diagnosis

  • Author

    Li, Hui

  • Author_Institution
    Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
  • fYear
    2010
  • Firstpage
    6923
  • Lastpage
    6926
  • Abstract
    The continuous wavelet transform enables one to look at the evolution in the time scale joint representation plane. This advantage makes it very suitable for the detection of singularity generated by localized defects in mechanical system. The Fourier spectrum of complex Morlet wavelet is real, which the Fourier spectrum has no complex phase, the complex Morlet wavelet does not affect the phase of a signal in complex domain. This gives a desirable ability to detect the singularity characteristic of a signal precisely. In this study, the complex Morlet wavelet amplitude and phase map are used in conjunction to detect and diagnose the bearing fault. The complex Morlet wavelet amplitude and phase map are found to show distinctive signatures in the presence of bearing inner race or outer race damage. The experimental results show that the Morlet wavelet amplitude and phase map can extract the transients from strong noise signals and can effectively diagnose the faults of bearing.
  • Keywords
    condition monitoring; fault diagnosis; machine bearings; signal processing; wavelet transforms; bearing fault diagnosis; bearing inner race damage; complex Morlet wavelet; continuous wavelet transform; outer race damage; phase map; singularity characteristic; Continuous wavelet transforms; Rolling bearings; Transient analysis; Vibrations; Wavelet analysis; Bearing; Complex Morlet wavelet; Continuous wavelet transform; Fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554232
  • Filename
    5554232