• DocumentCode
    1677338
  • Title

    Sensitive and reliable detection of broken rotor bar fault in induction motors

  • Author

    Boqiang, Xu ; Heming, Li ; Liling, Sun

  • Author_Institution
    Sch. of Electr. Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2004
  • Firstpage
    714
  • Abstract
    This paper develops a sensitive and reliable detection scheme for broken rotor bar fault in induction motors, taking into account the intrinsic asymmetry, air-gap eccentricity and rotor misalignment. Firstly, numerical simulation along with related experiments of broken rotor bar fault are performed successfully. Secondly, by thoroughly analyzing the simulation and experiment results, a series of interesting highlights, which could help improve the sensitivity and reliability of broken rotor bar fault detection in actual field, are revealed explicitly. Finally, a novel scheme to detect broken rotor bar fault, which perfectly blends continuous subdivision Fourier transform, self-adaptive filter, rotor slot harmonics based slip estimation and detection threshold self-tuning technique together, and thus possesses high-sensitivity and high-reliability, is proposed in this paper. Fault detection instances in laboratory demonstrate that the presented scheme is valid and effective.
  • Keywords
    Fourier transforms; air gaps; fault location; induction motors; reliability; rotors; sensitivity; slip (asynchronous machines); tuning; Fourier transform; air-gap eccentricity; broken rotor bar fault; fault detection; induction motor; intrinsic asymmetry; reliable detection scheme; rotor misalignment; rotor slot harmonic; self-adaptive filter; self-tuning technique; sensitive detection scheme; slip detection; slip estimation; Air gaps; Analytical models; Electrical fault detection; Fault detection; Filters; Frequency; Induction motors; Numerical simulation; Rotors; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-8486-5
  • Type

    conf

  • DOI
    10.1109/IAS.2004.1348493
  • Filename
    1348493