• DocumentCode
    2364737
  • Title

    Induction Machine Broken Bars Fault Detection Using Stray Flux after Supply Disconnection

  • Author

    Kia, Shahin Hedayati ; Henao, Humberto ; Capolino, Gerard-Andre ; Martis, C.

  • Author_Institution
    Dept. of Electr. Eng., Picardy Univ., Amiens
  • fYear
    2006
  • fDate
    6-10 Nov. 2006
  • Firstpage
    1498
  • Lastpage
    1503
  • Abstract
    The aim of this paper is to present a new approach to detect broken bars fault in squirrel-cage induction machine. This approach is based on the study of stray flux signal after the supply disconnection. This type of test is useful especially for the maintenance purpose when it is possible to remove the load and supply effects. In this case, the current in rotor side decrease by its time constant and the spectrum induced in a search coil around the induction machine is analyzed with a time-frequency method allowing the rotor faults detection. The broken rotor bar effect is analyzed in the induced stator voltage spectrum too, but the experimental results show that its sensitivity is weak with respect to the given by the search coil induced voltage spectrum
  • Keywords
    coils; fault diagnosis; maintenance engineering; rotors; squirrel cage motors; stators; time-frequency analysis; broken bars fault detection; broken rotor bar effect; rotor side; search coil; squirrel-cage induction machine; stator voltage spectrum; stray flux; supply disconnection; time-frequency method; Bars; Circuit faults; Coils; Electrical fault detection; Fault detection; Frequency; Induction machines; Stator cores; Testing; Voltage; Induction machine; Rotor fault detection; Short time discrete Fourier transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
  • Conference_Location
    Paris
  • ISSN
    1553-572X
  • Print_ISBN
    1-4244-0390-1
  • Type

    conf

  • DOI
    10.1109/IECON.2006.347595
  • Filename
    4153040