• DocumentCode
    3110919
  • Title

    Fault detection of squirrel cage induction motor by analyzing motor current signals

  • Author

    Yu-Seop Park ; Seok-Myeong Jang ; Jang-Young Choi ; Cheol-Soo Goo

  • Author_Institution
    Dept. of Electr. Eng., Chungnam Nat. Univ., Daejeon, South Korea
  • fYear
    2012
  • fDate
    9-12 Oct. 2012
  • Firstpage
    219
  • Lastpage
    222
  • Abstract
    This paper deals with the operating characteristics of a squirrel cage induction motor with a broken rotor bar, stator winding inter-turn short and their complex fault conditions. The considered operating characteristics are phase current, torque and speed. In addition, differently from conventional fault detecting method using Park´s transformation, this paper applies the MCSA(motor current signal method) to distinguish the fault types more accurately. In addition, this paper constructed the experimental set to adjust the speed of the induction motor with a permanent magnet synchronous generator connected to a load bank to confirm the fault characteristics of the induction motor according to its slip conditions.
  • Keywords
    fault diagnosis; permanent magnet generators; rotors; slip (asynchronous machines); squirrel cage motors; stators; synchronous generators; torque; MCSA; Park´s transformation; broken rotor bar; complex fault conditions; fault characteristics; fault detection; load bank; motor current signal method; permanent magnet synchronous generator; phase current; slip conditions; speed; squirrel cage induction motor; stator winding; torque; Amplitude modulation; Analytical models; Artificial intelligence; Inverters; Silicon; Space vector pulse width modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-0953-0
  • Type

    conf

  • DOI
    10.1109/VPPC.2012.6422532
  • Filename
    6422532