• DocumentCode
    3596522
  • Title

    Time-domain bearing condition monitoring in induction motors using instantaneous frequency of motor voltage

  • Author

    Dalvand, Fardin ; Kalantar, Asadollah ; Shokoohi, Shoresh ; Bevrani, Hassan

  • Author_Institution
    Electr. Eng. Unit, IOPTC, Khoramabad, Iran
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Bearings are important components in induction motors. Bearing failures are actually the most frequent failures in this type of machines. Utilizing electrical signals and eliminating signals such as vibration is essential to reduce the cost of condition monitoring schemes of electrical machines in industry. In this paper, the instantaneous frequency of motor voltage is introduced to monitor bearings condition. By using this signal, for instance, the global kurtosis and crest factor are able to detect bearing defects in time-domain. In this work, envelope analysis of vibration signal is used to verify the existence of bearing defects. Experimental results show the effectiveness of the proposed bearing condition monitoring method.
  • Keywords
    condition monitoring; cost reduction; failure analysis; induction motors; machine bearings; time-domain analysis; vibrations; bearing defect detection; bearings failures; cost reduction; crest factor; electrical signals; global kurtosis; induction motors; instantaneous frequency; motor voltage; time-domain bearing condition monitoring; vibration signal envelope analysis; Condition monitoring; Induction motors; Monitoring; Nickel; Rotors; Time-domain analysis; Vibrations; Bearing condition monitoring; crest factor; global kurtosis; induction motor; instantaneous frequency; motor voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2014
  • Print_ISBN
    978-1-4799-8313-1
  • Type

    conf

  • DOI
    10.1109/SGC.2014.7150708
  • Filename
    7150708