• DocumentCode
    1839381
  • Title

    On-line load test for induction machine stator inter-turn fault detection under stator electrical asymmetries

  • Author

    Patel, Dhaval C. ; Chandorkar, Mukul C.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    933
  • Lastpage
    938
  • Abstract
    The stator inter-turn faults and stator electrical asymmetries such as stator resistance and inductance unbalance generate similar negative sequence current signatures in the induction machine. Hence the stator inter-turn fault is one of the most difficult faults to discriminate and detect in an induction machine. Discrimination of the stator inter-turn fault from stator electrical asymmetry essentially helps to arrange maintenance in a proper schedule. In this paper, a simple on-line load test is proposed to detect the presence of stator inter-turn fault under stator electric asymmetrical condition of the machine. The proposed test is based on the observation of steady-state stator current locus with change in load. The test procedure does not require additional sensors, training and database, past history of the machine and speed measurement. It is also applicable to any unknown machine. This paper presents analytical studies and experiments on a faulted and electrically asymmetrical motors to confirm the simplicity and effectiveness of the proposed load test.
  • Keywords
    asynchronous machines; fault diagnosis; machine testing; machine theory; stators; inductance unbalance; induction machine stator interturn fault detection; negative sequence current signatures; online load test; stator electrical asymmetries; stator resistance; steady-state stator current locus; Circuit faults; Induction motors; Resistance; Rotors; Stator windings; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5674926
  • Filename
    5674926