• DocumentCode
    3213567
  • Title

    Enhanced algorithm for motor rotor broken bar detection

  • Author

    Vico, Jakov ; Stankovic, Dragan ; Voloh, Ilia ; Zhang, Zhiying ; Swigost, Daniel

  • Author_Institution
    GE Digital Energy Multilin, Toronto, Canada
  • fYear
    2010
  • fDate
    19-21 April 2010
  • Firstpage
    1
  • Lastpage
    14
  • Abstract
    Motor rotor broken bar is one of the predominant failure modes of squirrel cage induction motors. There are numerous researched methods for identifying rotor bar faults: motor current signature analysis, acoustic noise measurements, vibration monitoring, temperature monitoring, electromagnetic field monitoring, infrared recognition, radio frequency emissions monitoring, etc. The most frequently used method is called the Motor Current Signature Analysis (MCSA). It is based on a signal analysis of the motor current, obtained via a regular current transformer used for motor protection purposes. It is difficult to detect rotor bar failures by looking into the currents waveform-time domain analysis, however impact of rotor broken bars to the stator currents can be determined by analyzing spectrum of frequency distribution in the frequency domain.
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power Electronics, Machines and Drives (PEMD 2010), 5th IET International Conference on
  • Conference_Location
    Brighton, UK
  • Type

    conf

  • DOI
    10.1049/cp.2010.0031
  • Filename
    5523789