• DocumentCode
    2950258
  • Title

    Broken Rotor Bar Detection in Induction Motors via Wavelet Ridge

  • Author

    Wei, Yunbing ; Shi, Baoshan ; Cui, Guangzhao ; Yin, Jun

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    625
  • Lastpage
    628
  • Abstract
    On-line diagnostics of induction motor faults such as broken rotor bars can be accomplished by analyzing the anomalies of motor stator current. This paper presents a novel approach for the detection of the broken rotor bars in induction motors based on wavelet ridge. The characteristic frequency component (CFC) of the broken rotor bars is very close to power frequency in frequency domain but far less in amplitude in steady state, so it is very difficult to detect the broken rotor bars by Fourier transform. As the CFC of the broken rotor bars approaches power frequency gradually during the motorpsilas startup process, the wavelet ridge-based method is introduced to analyze this transient procedure and the CFC of the broken rotor bars is extracted effectively. The influence of power frequency can be well eliminated, and the detection accuracy is greatly improved. Experimental results also demonstrate this is truly an excellent approach for the detection of the broken rotor bars.
  • Keywords
    fault diagnosis; frequency-domain analysis; induction motors; rotors; starting; wavelet transforms; broken rotor bar detection; fault online diagnostics; frequency domain; induction motor fault; motor startup process; wavelet ridge-based method; Bars; Circuit faults; Electrical fault detection; Frequency domain analysis; Hardware; Induction motors; Rotors; Stators; Transient analysis; Wavelet analysis; broken rotor bar; detection; induction motor; wavelet ridge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.510
  • Filename
    5203511