• DocumentCode
    2494849
  • Title

    Bispectral analysis for diagnosis of gear pitting fault

  • Author

    Yibing, Liu ; Keguo, Yan ; Yanbing, Zhou ; Hong, Xu

  • Author_Institution
    Key Lab. of Condition Monitoring & Control for Power Plant Equip., North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    6847
  • Lastpage
    6851
  • Abstract
    A mechanical system shows always unstable, non-Gaussian and nonlinear characteristics to some extent, especially when the system suffer from defect, therefore it is difficult for conventional vibration analysis based on Fourier transform to find weak fault information. High-order spectral analysis (HOSA) provides a more effective tool. In this paper bispectrum and 1(12)-dimension spectrum were used to analyze vibration signals from gearbox with various pitting faults and to extract the fault feature by slice. Through comparison between normal and fault conditions it can be concluded that bispectral analysis has a stable performance and is very sensitive to faults.
  • Keywords
    Fourier transforms; fault diagnosis; gears; mechanical engineering computing; spectral analysis; vibrations; Fourier transform; bispectral analysis; gear pitting fault diagnosis; high-order spectral analysis; mechanical system; nonGaussian characteristics; nonlinear characteristics; unstable characteristics; vibration analysis; Data mining; Fault diagnosis; Feature extraction; Fourier transforms; Gears; Information analysis; Mechanical systems; Signal analysis; Spectral analysis; Vibrations; bispectrum; fault diagnosis; gear pitting; vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593973
  • Filename
    4593973