• DocumentCode
    581233
  • Title

    Diagnosis of eccentricity in induction machines working under fluctuating load conditions, through the instantaneous frequency

  • Author

    Vedreño-Santos, F. ; Riera-Guasp, M. ; Henao, H. ; Pineda-Sánchez, M. ; Antonino-Daviu, J.A.

  • Author_Institution
    Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    5108
  • Lastpage
    5113
  • Abstract
    This paper introduces a methodology for diagnosing mixed eccentricity fault in squirrel cage induction machines which work under variable load conditions in generator or motor mode; the method is based on the extraction of the instantaneous frequency of the fault related component of stator currents during speed transients, caused by load changes. It is shown that under these conditions, the instantaneous frequency plot of the main fault component versus the slip is a straight line with a specific slope and offset. In addition and for a given pole pair number, this pattern is not dependent on the machine features, nor the way in which the load changes. Besides, the practical methodology of this technique is introduced for diagnosing mixed eccentricity. The approach is validated by laboratory tests.
  • Keywords
    asynchronous machines; squirrel cage motors; stators; eccentricity diagnosis; fluctuating load conditions; generator mode; instantaneous frequency; mixed eccentricity fault; motor mode; speed transients; squirrel cage induction machines; stator currents; variable load conditions; Discrete wavelet transforms; Filtering; Generators; Monitoring; Analytical signal; Hilbert transform; Time-frequency analysis; discrete wavelet transform; fault diagnosis; induction machine; instantaneous frequency; load fluctuating conditions; wind generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388979
  • Filename
    6388979