• DocumentCode
    1669643
  • Title

    An Improvement of Stator Current Based Detection of Bearing Fault in Induction Motors

  • Author

    Sun Liling ; Xu Boqiang

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • fYear
    2007
  • Firstpage
    2277
  • Lastpage
    2281
  • Abstract
    This paper develops an improved stator current based detection scheme for bearing fault in induction motors. Firstly, experiments of bearing fault are performed. Secondly, by thoroughly analyzing the experiment results, a series of interesting highlights, which could help improve the sensitivity and reliability of stator current based detection of bearing fault in actual field, are revealed clearly. Finally, an improved stator current based detection scheme, which perfectly blends subdivision Fourier transform, self-adaptive filter and rotor slot harmonics based slip estimation techniques together, is proposed. Fault detection instances in laboratory demonstrate that the presented scheme is effective.
  • Keywords
    Fourier transforms; adaptive filters; machine bearings; stators; Fourier transform; bearing fault; detection scheme; induction motors; reliability; rotor slot harmonics; self adaptive filter; sensitivity; slip estimation; stator current; Electrical fault detection; Fault detection; Fourier transforms; Frequency; Induction motors; Laboratories; Power harmonic filters; Rotors; Stators; Vibration measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2007. 42nd IAS Annual Meeting. Conference Record of the 2007 IEEE
  • Conference_Location
    New Orleans, LA
  • ISSN
    0197-2618
  • Print_ISBN
    978-1-4244-1259-4
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/07IAS.2007.344
  • Filename
    4348093