• DocumentCode
    2649862
  • Title

    Diagnosis of induction machines under transient conditions through the Instantaneous Frequency of the fault components

  • Author

    Pineda-Sanchez, M. ; Riera-Guasp, M. ; Pons-Llinares, J. ; Climente-Alarcón, V. ; Perez-Cruz, J.

  • Author_Institution
    Dept. of Electr. Eng., Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2010
  • fDate
    6-8 Sept. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper introduces a methodology for diagnosing different types of faults of induction machines working under transient conditions; the method is based on the extraction of the Instantaneous Frequency (IF) of the fault related components of stator current. It is shown that the IF of the fault components, evolves in the time-frequency and slip-frequency planes following characteristic patterns, different for each type of fault; the identification of these characteristic patterns, which are theoretically explained, is proposed as the base of the diagnosis method. This paper also introduces several mathematical approaches which enables for the extraction of the instantaneous frequency of the fault components of the transient stator current. Each of this methods is explained and also and validated with both simulated and tested signal. A comparison of the different methods for extracting the instantaneous frequency of the fault components is also given.
  • Keywords
    Hilbert transforms; fault diagnosis; frequency estimation; induction motors; stators; time-frequency analysis; wavelet transforms; Hilbert transforms; continuous wavelet transform; fault components; frequency estimation; induction machine diagnosis; induction motors; instantaneous frequency extraction; slip-frequency planes; time-frequency analysis; time-frequency planes; transient conditions; transient stator current; wigner-ville distributions; Continuous wavelet transforms; Induction motors; Rotors; Stators; Time frequency analysis; Transient analysis; Hilbert transforms; analytical signal; continuous wavelet transform; fault diagnosis; frequency estimation; induction motors; time-frequency analysis; wigner-ville distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2010 XIX International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-4174-7
  • Electronic_ISBN
    978-1-4244-4175-4
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2010.5608001
  • Filename
    5608001