• DocumentCode
    2427826
  • Title

    Detection of Broken Rotor Bars and Stator Faults in Squirrel-Cage Induction Machine by Spectral Analysis

  • Author

    Touhami, O. ; Fadel, Maurice

  • Author_Institution
    Dept. of Electr. Eng., National Polytech. Coll., Algiers
  • fYear
    2007
  • fDate
    4-6 March 2007
  • Firstpage
    274
  • Lastpage
    278
  • Abstract
    This paper presents the analysis of the stator current signature of the induction motor by the traditional methods that use fast Fourier transform (FFT), short-term Fourier transform (STFT) and the representation by spectrogram. The obtained results on four designed induction machines and are especially constructed for the purpose of the defects diagnosis are presented. One compares these results with those gotten by the help of transformed it in wavelets. Then, the dynamic performances of the squirrel-cage rotor induction machines with their respective faults while using an analytic method based on the equivalent diagram and the vector diagram of the currents, is analyzed.
  • Keywords
    asynchronous machines; fast Fourier transforms; fault diagnosis; machine testing; rotors; spectral analysis; wavelet transforms; broken rotor bar detection; defect diagnosis; fast Fourier transform; short-term Fourier transform; spectral analysis; spectrogram; squirrel-cage induction machine; stator current signature; stator faults detection; vector diagram; wavelet transform; Bars; Fast Fourier transforms; Fault detection; Fourier transforms; Induction machines; Induction motors; Performance analysis; Rotors; Spectral analysis; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2007. SSST '07. Thirty-Ninth Southeastern Symposium on
  • Conference_Location
    Macon, GA
  • ISSN
    0094-2898
  • Print_ISBN
    1-4244-1126-2
  • Electronic_ISBN
    0094-2898
  • Type

    conf

  • DOI
    10.1109/SSST.2007.352364
  • Filename
    4160850