• DocumentCode
    666575
  • Title

    Bearing Fault diagnosis using a pre-filtering and a spectral identification algorithm

  • Author

    Masmoudi, M.L. ; Etien, Erik ; Moreau, Sandrine ; Sakout, A.

  • Author_Institution
    LIAS Lab., Univ. of Poitiers, Poitiers, France
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    5476
  • Lastpage
    5481
  • Abstract
    The Time Synchronous Averaging (TSA) is a well known method used for early detection of defects in rolling elements. This paper applies and evaluates the effectiveness of this method, spefifies its limitations, and improves it using a pre-filtering of the envelop signal associated with an identification method based on Marquardt algorithm. The proposed procedure is evaluated and applied theoretically and practically on simulated and real signals.
  • Keywords
    condition monitoring; fault diagnosis; filtering theory; mechanical engineering computing; rolling bearings; signal processing; Marquardt algorithm; bearing fault diagnosis; defect early detection; envelop signal prefiltering; rolling elements; spectral identification algorithm; time synchronous averaging; Time-frequency analysis; Marquardt algorithm; TSA; Vibratons; diagnosis; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6700028
  • Filename
    6700028