• DocumentCode
    603951
  • Title

    Diagnosis of induction machines under non-stationary conditions: Concepts and tools

  • Author

    Riera-Guasp, M. ; Pons-Llinares, Joan ; Climente-Alarcon, Vicente ; Vedreno-Santos, Francisco ; Pineda-Sanchez, M. ; Antonino-Daviu, Jose A. ; Puche-Panadero, R. ; Perez-Cruz, J. ; Roger-Folch, J.

  • Author_Institution
    Inst. of Energetic Eng., Univ. Poiltecnica de Valencia, Valencia, Spain
  • fYear
    2013
  • fDate
    11-12 March 2013
  • Firstpage
    220
  • Lastpage
    231
  • Abstract
    This paper is focused on fault diagnostic methodologies suited for induction machines which are subjected to fluctuating loads and speeds during their normal duty cycle. In these cases, the load and speed fluctuate continuously, near their rated values, and in a random way; the diagnosis becomes more complicated than under stationary regime or under other kind of transients, as the startup, much intensively studied at the literature, in which the speed, slip, and current undergo larger variations and evolve in a predefined way. In the first part of this paper, different approaches which enable the diagnosis under non-stationary conditions are introduced from a conceptual perspective. The second part of this work is devoted to the practical implementation of the diagnostic approaches previously introduced: the suitable signal analysis tools needed for carrying out diverse diagnostic approaches are introduced in a comprehensive way and supported by experimental results.
  • Keywords
    asynchronous machines; fault diagnosis; fluctuations; signal processing; diagnostic approaches; diverse diagnostic approaches; fault diagnostic methodologies; induction machine diagnosis; load fluctuation; nonstationary conditions; normal duty cycle; signal analysis tools; stationary regime; Discrete wavelet transforms; Harmonic analysis; Time-domain analysis; Time-frequency analysis; Hilbert transform; fault diagnosis; frequency domain analysis; induction machine; non-stationary regime; time domain analysis; time-frequency distributions; wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines Design Control and Diagnosis (WEMDCD), 2013 IEEE Workshop on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4673-5656-5
  • Electronic_ISBN
    978-1-4673-5657-2
  • Type

    conf

  • DOI
    10.1109/WEMDCD.2013.6525182
  • Filename
    6525182