• DocumentCode
    2041725
  • Title

    Gear fault diagnosis based on continuous Morlet wavelet amplitude and phase map

  • Author

    Li, Hui

  • Author_Institution
    Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2619
  • Lastpage
    2622
  • Abstract
    A novel method for detection and diagnosis of the gear wear fault according to complex Morlet wavelet amplitude and phase map is presented. The continuous wavelet transform is widely recognized as an effective technique for machinery fault diagnosis using vibration signals since it can be used to detect both stationary and transitory signals. This advantage makes it very suitable for the detection of singularity generated by localized defects in gear transmission system. In this study, the complex Morlet wavelet amplitude and phase map are used in conjunction to diagnose the gear fault. The experimental results show that complex Morlet wavelet amplitude and phase map is a sensitive indicator of the existence of damage in the gearbox.
  • Keywords
    acoustic signal detection; fault diagnosis; gears; power transmission (mechanical); vibrations; wavelet transforms; complex Morlet wavelet amplitude; continuous Morlet wavelet amplitude; continuous wavelet transform; gear transmission system; gear wear fault diagnosis; gearbox; machinery fault diagnosis; phase map; stationary signal detection; transitory signal detection; vibration signals; Continuous wavelet transforms; Fault diagnosis; Feature extraction; Gears; Vibrations; continuous wavelet transform; fault diagnosis; gear; signal processing; vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569811
  • Filename
    5569811