• DocumentCode
    1597822
  • Title

    Diagnosis of induction motor rotor broken bars

  • Author

    Bacha, K. ; Gossa, M. ; Capolino, G.A.

  • Author_Institution
    Centre de Recherche en Productique, Ecole Superieure des Sci. et Tech. de Tunis, Tunisie
  • Volume
    2
  • fYear
    2004
  • Firstpage
    979
  • Abstract
    The results of a comparative experimental investigation of various media for noninvasive diagnosis of rotor faults in three-phase induction machines are presented. Stator voltages and currents in a squirrel three-phase induction motor are measured, recorded and used for computation of the partial and total input powers. The different waveforms of the stator current, partial input power and total input power are subsequently analysed using the fast Fourier transform (FFT) to detect the incipient rotor fault with high accuracy.
  • Keywords
    fast Fourier transforms; fault diagnosis; rotors; squirrel cage motors; stators; FFT; fast Fourier transform; predictive maintenance; rotor broken bar; rotor fault detection; rotor fault diagnosis; signal processing; squirrel three-phase induction motor; stator current; stator voltage; Bars; Current measurement; Fast Fourier transforms; Fault detection; Induction machines; Induction motors; Noninvasive treatment; Rotors; Stators; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8662-0
  • Type

    conf

  • DOI
    10.1109/ICIT.2004.1490209
  • Filename
    1490209