• DocumentCode
    497352
  • Title

    Research on the Gear Fault Diagnosis Using Order Envelope Spectrum

  • Author

    Li, Hui ; Fu, Lihui ; Shi, Zhenjiang

  • Author_Institution
    Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    711
  • Lastpage
    714
  • Abstract
    The speed-up and speed-down of the gearbox are non-stationary process and the vibration signal can not be processed by traditional processing method. In order to process the non-stationary vibration signals such as speed-up or speed-down signals effectively, the order envelope analysis technique is presented. This new method combines order tracking technique with envelope spectrum analysis. Firstly, the vibration signal is sampled at constant time increments and then uses software to resample the data at constant angle increments. Therefore, the time domain non-stationary signal is changed into angle domain stationary signal. In the end, the resampled signals are processed by envelope spectrum analysis. The experimental results show that order envelope spectrum analysis can effectively diagnosis the faults of the gear crack.
  • Keywords
    acoustic signal processing; cracks; fault diagnosis; gears; maintenance engineering; vibrations; envelope spectrum analysis; fault diagnosis; gear crack; gear fault diagnosis; gearbox; non-stationary vibration signals; order envelope spectrum; order tracking technique; speed-down signals; time domain non-stationary signal; Fault detection; Fault diagnosis; Gears; Machinery; Signal analysis; Signal processing; Signal resolution; Time frequency analysis; Vibration measurement; Wavelet analysis; Vibration; envelope spectrum; fault diagnosis; gear; order tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.431
  • Filename
    5203072