• DocumentCode
    1089095
  • Title

    Detection of Generalized-Roughness Bearing Fault by Spectral-Kurtosis Energy of Vibration or Current Signals

  • Author

    Immovilli, Fabio ; Cocconcelli, Marco ; Bellini, Alberto ; Rubini, Riccardo

  • Author_Institution
    Dipt. di Sci. e Metodi dellTngegneria, Univ. of Modena & Reggio Emilia, Reggio Emilia, Italy
  • Volume
    56
  • Issue
    11
  • fYear
    2009
  • Firstpage
    4710
  • Lastpage
    4717
  • Abstract
    Generalized roughness is the most common damage occurring to rolling bearings. It produces a frequency spreading of the characteristic fault frequencies, thus making it difficult to detect with spectral or envelope analysis. A statistical analysis of typical bearing faults is proposed here in order to identify the spreading bandwidth related to specific conditions, relying on current or vibration measurements only. Then, a diagnostic index based on the computation of the energy in the previously defined bandwidth is used to diagnose bearing faults. The proposed method was validated experimentally with vibration signals, with robust and reliable results. The same procedure can be extended to current signals.
  • Keywords
    fault diagnosis; maintenance engineering; rolling bearings; statistical analysis; surface roughness; vibrations; characteristic fault frequency spreading; current signal; diagnostic index; generalized-roughness bearing fault detection; rolling bearing; spreading bandwidth; statistical analysis; vibration spectral-kurtosis energy; Bearings; diagnostic reasoning; fault detection; rotating-machine mechanical factors; rough surface; signal processing; spectral analysis; wear;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2009.2025288
  • Filename
    5089424