• DocumentCode
    1563755
  • Title

    On-Line System for Fault Detection in Induction Machines based on Wavelet Convolution

  • Author

    Cusidó, J. ; Rosero, J.A. ; Cusidó, M. ; Garcia, A. ; Ortega, J.A. ; Romeral, L. ; Author, Q.

  • Author_Institution
    Univ. Polytech. de Catalunya, Terrassa
  • fYear
    2007
  • Firstpage
    927
  • Lastpage
    932
  • Abstract
    Motor current signature analysis has been successfully used in induction machines for fault diagnosis. The method, however, does not always achieve good results when the load torque is not constant. For proper results, temporal analysis on certain frequency harmonics is needed. This paper proposes an automatic system for fault analysis based on wavelet functions, which allows on-line fault detection in the time domain, achieving good experimental results both on stationary and non-stationary states.
  • Keywords
    convolution; fault diagnosis; induction motors; time-domain analysis; wavelet transforms; fault detection; fault diagnosis; frequency harmonics; induction machines; motor current signature analysis; on-line system; temporal analysis; wavelet convolution; wavelet functions; Convolution; Fault detection; Fault diagnosis; Frequency; Harmonic analysis; Induction machines; Induction motors; Torque; Wavelet analysis; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0275-9306
  • Print_ISBN
    978-1-4244-0654-8
  • Electronic_ISBN
    0275-9306
  • Type

    conf

  • DOI
    10.1109/PESC.2007.4342112
  • Filename
    4342112