• DocumentCode
    535242
  • Title

    Bearing fault detection based on order bispectrum

  • Author

    Han, Liru

  • Author_Institution
    Dept. of Comput. & Inf., Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3405
  • Lastpage
    3408
  • Abstract
    In order to process the non-stationary vibration signals such as speed up or speed down vibration signals effectively, the order bispectrum analysis technique is presented. This new method combines computed order tracking technique with bispectrum 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 transient signal is converted into angle domain stationary one. In the end, the resampled signals are processed by bispectrum analysis technology. The experimental results show that order bispectrum analysis can effectively detect the bearing fault.
  • Keywords
    fault diagnosis; machine bearings; mechanical engineering computing; signal processing; vibrations; angle domain stationary one; bearing fault detection; bispectrum analysis technique; constant angle increments; constant time increments; nonstationary vibration signals process; order bispectrum; order tracking technique; resampled signals; time domain transient signal; Fault detection; Mechanical systems; Shafts; Signal processing; Time frequency analysis; Vibrations; Bearing; Bispectrum; Fault diagnosis; Order tracking analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647398
  • Filename
    5647398