• DocumentCode
    2796107
  • Title

    Gear fault diagnosis of wind turbine generator system based on lifting wavelet- zooming envelope analysis

  • Author

    Sheng, Xiaoling ; Wan, Shuting ; Tian, Fengqi

  • Author_Institution
    Dept. of Mech. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    1332
  • Lastpage
    1335
  • Abstract
    Aiming at the gearbox fault characteristic of wind turbine generator system, a new synthetical diagnosis method is put forward. In this method, the signal firstly is transformed using lifting wavelet, and the transformation result is analyzed by using FFT, FFT-FS zooming and envelope spectrum. At last, the vibration signals on an experiment platform are tested using this method. The result shows that the method is more effective than traditional methods.
  • Keywords
    fast Fourier transforms; fault diagnosis; gears; vibrations; wavelet transforms; wind turbines; FFT-FS zooming; envelope spectrum; fast Fourier transform; gear fault diagnosis; lifting wavelet-zooming envelope analysis; synthetical diagnosis method; vibration signal; wind turbine generator system; Demodulation; Fault diagnosis; Frequency modulation; Gears; Vibrations; Wavelet transforms; Wind turbines; fault diagnosis; gear; lifting wavelet; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5987189
  • Filename
    5987189