• DocumentCode
    550708
  • Title

    Cepstrum analysis of vibration signals of wind turbine gearbox

  • Author

    Teng Wei ; Wu Xin ; Gao Qingfeng ; Liu Yibing

  • Author_Institution
    Sch. of Energy Power & Mech. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    4237
  • Lastpage
    4240
  • Abstract
    The vibration signals of wind turbine gearbox contain various running status information, the analysis to which is a general method to detect the defection in gearbox. In this paper, we introduce the gearbox of wind turbine Micon 750kW, and analyze the characteristic of gearbox structure and the corresponding vibration signals. The advantage of cepstrum extracting the sideband modulation frequencies from complicated aliasing signals is studied, and the gearbox vibration signals are analyzed using cepstrum to extract the rotational frequency which disappears in power-density spectrum. The analysis results demonstrate that the cepstrum can detect the fault characteristic effectively in wind turbine gearbox.
  • Keywords
    cepstral analysis; fault diagnosis; gears; mechanical engineering computing; vibrations; wind turbines; aliasing signal; cepstrum analysis; defect detection; fault detection; power 750 kW; power-density spectrum; rotational frequency; running status information; sideband modulation frequency; vibration signal; wind turbine gearbox; Amplitude modulation; Cepstrum; Electronic mail; Frequency modulation; Mechanical systems; Vibrations; Wind turbines; Cepstrum; Vibration Signals; Wind Turbine Gearbox;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001047