• DocumentCode
    3573675
  • Title

    Gearbox Fault Diagnosis Based on Wavelet-AR Model

  • Author

    Zhou, Gui-hong ; Zuo, Chun-Cheng ; Wang, Jia-zhong ; Liu, Shu-xia

  • Author_Institution
    Jilin Univ., Changchun
  • Volume
    2
  • fYear
    2007
  • Firstpage
    1061
  • Lastpage
    1065
  • Abstract
    A fault diagnosis technique for gearbox that uses a wavelet-AR model spectrum estimation method is presented in this paper. In the experimental work, the wavelet transform was used for original signal decomposition and de-noising to obtain fault signals, and the fault type was confirmed using AR model spectrum estimation method for gearbox fault signal diagnosis. The experimental results indicated that the proposed wavelet-AR model spectrum estimation method, compared with FFT algorithm, is effective in fault signal diagnosis for gearbox.
  • Keywords
    fault diagnosis; gears; vibrations; wavelet transforms; FFT algorithm; gearbox fault diagnosis; mechanical vibration signals; signal decomposition; wavelet transform; wavelet-AR model; Discrete wavelet transforms; Fault diagnosis; Frequency; Machine learning; Signal analysis; Signal processing; Signal processing algorithms; Spectral analysis; Wavelet analysis; Wavelet transforms; FFT algorithm; Fault diagnosis; Gearbox; Wavelet-AR model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370300
  • Filename
    4370300