• DocumentCode
    1803589
  • Title

    Experimental investigation and analysis for gearbox fault

  • Author

    Li, Shaohua ; Jiang, Dongxiang ; Zhao, Minghao

  • Author_Institution
    Dept. of Thermal Eng., Tsinghua Univ., Beijing, China
  • fYear
    2010
  • fDate
    5-7 Nov. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    As an important component of a wind turbine drive chain, the high failure rate of the gearbox can have a serious impact on the operation of wind turbine units. The fault diagnosis of the gearbox is therefore important for the safety of wind turbine units. In this paper, a gearbox experiment rig was built, experiments on the gear surface spalling fault were held on the rig under laboratory conditions, the shaft vibration displacement signals were collected, related vibration signals were analyzed by time domain, amplitude domain, frequency domain and wavelet analysis, and the results of different analysis methods were compared. The results show that the waveform of normal and fault signals are similar, the amplitude of the signals will change while the fault happens, and the wavelet analysis is more effective than frequency domain analysis on gearbox fault features extraction.
  • Keywords
    condition monitoring; drives; fault diagnosis; gears; time-frequency analysis; vibrations; wind turbines; amplitude domain; fault diagnosis; fault feature extraction; gear surface spalling fault; gearbox; shaft vibration displacement signals; time-frequency domain; wavelet analysis; wind turbine drive chain; Amplitude modulation; Feature extraction; Frequency domain analysis; Gears; Shafts; Spectrogram; Wind turbines; amplitude domain; frequency domain; gearbox; surface spalling; time domain; wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Non-Grid-Connected Wind Power and Energy Conference (WNWEC), 2010
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-8920-6
  • Electronic_ISBN
    978-1-4244-8921-3
  • Type

    conf

  • DOI
    10.1109/WNWEC.2010.5673173
  • Filename
    5673173