• DocumentCode
    2236365
  • Title

    Squirrel cage rotor faults detection in induction motor utilizing stator power spectrum approach

  • Author

    Drif, M´hamed ; Benouzza, N. ; Kraloua, B. ; Bendiabdellah, A. ; Dente, J.A.

  • Author_Institution
    Univ. of Sci. & Technol. of Oran, Algeria
  • fYear
    2002
  • fDate
    4-7 June 2002
  • Firstpage
    133
  • Lastpage
    138
  • Abstract
    Early detection of abnormalities in the motor will help avoid expensive failure. It has been shown that rotor faults such as broken rotor bars can be detected by several methods. This paper deals with the application of the spectral analysis of the instantaneous power for the detection of rotor cage faults in operating three phase induction motors. This approach carries more information than that of the current spectral analysis approach. Both simulation and experimental results are presented to illustrate the merits of the proposed instantaneous power approach.
  • Keywords
    fault diagnosis; machine testing; machine theory; rotors; spectral analysis; squirrel cage motors; broken rotor bars; instantaneous power spectral analysis; squirrel cage rotor faults detection; stator power spectrum approach; three-phase induction motors;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power Electronics, Machines and Drives, 2002. International Conference on (Conf. Publ. No. 487)
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-747-0
  • Type

    conf

  • DOI
    10.1049/cp:20020102
  • Filename
    1031678