• DocumentCode
    3429931
  • Title

    Adaptive resonant demodulation for early fault diagnosis of ball bearing

  • Author

    Qin Tian ; Chenggang Hou ; Sheng Li

  • Author_Institution
    Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2013
  • fDate
    6-10 July 2013
  • Firstpage
    34
  • Lastpage
    38
  • Abstract
    Ball bearing is one of the most easily damaged parts of rotating machinery. Envelope demodulation technique is one of the most effective methods for ball bearing early fault diagnosis. However, in the process of using the resonance demodulation technique, it is difficult to determine the resonant band which contains side band of bearing components failure characteristics. In order to resolve the issue, this paper proposes a method of automatic selection of band-pass filter enter frequency, which is based on envelope spectral kurtosis. Experimental result shows that the proposed method can be used to indicate the best band to demodulate for envelope analysis and achieves adaptive fault diagnosis of ball bearing.
  • Keywords
    ball bearings; band-pass filters; demodulation; fault diagnosis; mechanical engineering computing; adaptive resonant demodulation; ball bearing; band-pass filter; bearing component failure characteristics; early fault diagnosis; envelope demodulation technique; rotating machinery; Adaptive algorithms; Ball bearings; Band-pass filters; Demodulation; Fault diagnosis; Resonant frequency; Vibrations; Ball bearings; adaptive algorithm; demodulation; fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2013.6625292
  • Filename
    6625292