• DocumentCode
    408098
  • Title

    Extracting gear fault features using integrated bispectrum

  • Author

    Zhang, Guicai ; Du, Ruxu ; Shi, Tielin

  • Author_Institution
    Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, Shatin, China
  • Volume
    1
  • fYear
    2003
  • fDate
    8-13 Oct. 2003
  • Firstpage
    548
  • Abstract
    Gear fault feature extraction using integrated bispectrum is investigated in this paper. Integrated bispectrum is a kind of 1-D higher order spectra, it is obtained by integrating out one of the two frequency variables of the bispectrum. Integrated bispectrum provides more of signal features than bispectrum slices do. Moreover, it is more convenient to use than all kinds of 1-D bispectrum slices. Experimental results show that integrated bispectrum is more effective than bispectrum slices in extracting mechanical fault features.
  • Keywords
    fault diagnosis; feature extraction; gears; higher order statistics; mechanical engineering; noise; signal processing; 1D higher order spectra; bispectrum slices; gear fault feature extraction; integrated bispectrum; mechanical fault; Biomedical signal processing; Feature extraction; Frequency; Gaussian noise; Gears; Multidimensional signal processing; Noise reduction; Radar signal processing; Signal to noise ratio; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
  • Print_ISBN
    0-7803-7925-X
  • Type

    conf

  • DOI
    10.1109/RISSP.2003.1285633
  • Filename
    1285633