• DocumentCode
    469072
  • Title

    The fault diagnosis method of rolling bearing based on wavelet packet transform and zooming envelope analysis

  • Author

    Wan, Shu-ting ; Lv, Lu-yong

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • Volume
    3
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    1257
  • Lastpage
    1261
  • Abstract
    The fault of rolling bearing is one of familiar faults in rotaries. In accordance with the defects of traditional envelope analysis to specify the resonant frequency band manually, a new fault diagnosis method based on wavelet packet transform and zooming envelope analysis is proposed. Firstly, the modulated frequency of resonant frequency band is extracted for rolling bearing, and the original signal is reconstructed and the other interfering signals are filtered based on wavelet packet transform. Secondly, the recomposed signal is demodulated by Hilbert transform, the high-frequency natural vibration is removed and the envelope signal can be obtained. Thirdly, in order to improve frequency precision of the envelope signal, the FFT-FS spectrum zooming method is proposed also. Finally, the fault vibration of a type 6350 rolling bearing installed on ADBE-56-N4 electric machine is measured in the laboratory to verify the theoretical analysis presented above.
  • Keywords
    Hilbert transforms; fault diagnosis; rolling bearings; wavelet transforms; ADBE-56-N4 electric machine; FFT-FS spectrum zooming method; Hilbert transform; fault diagnosis method; frequency precision; resonant frequency band; rolling bearing; wavelet packet transform; zooming envelope analysis; Electric machines; Electric variables measurement; Fault diagnosis; Frequency modulation; Resonant frequency; Rolling bearings; Vibration measurement; Wavelet analysis; Wavelet packets; Wavelet transforms; FFT-FS spectrum zooming; Hilbert transform; Rolling bearing; Wavelet packet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4421627
  • Filename
    4421627