• DocumentCode
    2635504
  • Title

    Detection of bearing fault using hybrid digital filter

  • Author

    Shao, Yimin ; HU, Yumei ; WANG, Shemin ; Zhou, Xiaojun

  • Author_Institution
    Chongqing Univ., Chongqing
  • fYear
    2007
  • fDate
    17-20 Sept. 2007
  • Firstpage
    12
  • Lastpage
    15
  • Abstract
    The signal-to-noise (S/N) ratio is lower and the impulse signal of bearing is difficult to extract when the bearing is operating under heavy environmental conditions. For this reason, a new method is proposed for improving the signal to noise ratio from measurements of bearing vibration by the hybrid digital filter (HDF). Experimental result has shown that these techniques can be made more effective only after HDF has reduced the background noise from the diagnostic signals.
  • Keywords
    digital filters; fault location; machine bearings; vibrations; bearing fault detection; bearing impulse signal; bearing vibration; hybrid digital filter; signal-to-noise ratio; Cloning; Digital filters; Fault detection; Noise cancellation; Noise measurement; Nonlinear filters; Signal to noise ratio; Vectors; Vibration measurement; Working environment noise; Bearing Fault; Detection; Hybrid Digital Filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE, 2007 Annual Conference
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-4-907764-27-2
  • Electronic_ISBN
    978-4-907764-27-2
  • Type

    conf

  • DOI
    10.1109/SICE.2007.4420941
  • Filename
    4420941