• DocumentCode
    1563412
  • Title

    On-line squirrel cage induction motors´ rotor mixed fault diagnosis approach based on spectrum analysis of instantaneous power

  • Author

    Liu, Zhenxing ; Zhang, Xiaolong ; Yin, Xianggen ; Zhang, Zhe

  • Author_Institution
    Wuhan Univ. of Sci. & Technol., Wuhun, China
  • Volume
    5
  • fYear
    2004
  • Firstpage
    4472
  • Abstract
    This paper deals with the common faults, such as broken rotor bar and eccentricity in induction motors. In order to overcome the shortage of broken rotor bars´ characteristic components being submerged by the fundamental one in the spectrum of the stator line current, instantaneous power of the motor is used as the quantity to be monitored in our work. Theoretical analysis indicates that the spectrum of AC level of the spectrum of the instantaneous power is clear from any component at the fundamental supply frequency, and the fault characteristics can be highlighted, which is effective to the separation of mixed faults and the quantification of the fault extent. Experimental results have demonstrated the effectiveness of the proposed technique.
  • Keywords
    fault diagnosis; rotors; spectral analysis; squirrel cage motors; stators; AC level; broken rotor bar; eccentricity; fault extent quantification; instantaneous power; online squirrel cage induction motor; rotor mixed fault diagnosis method; spectrum analysis; stator line current; supply frequency; Bars; Equations; Fault detection; Fault diagnosis; Frequency; Induction motors; Monitoring; Power harmonic filters; Rotors; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342361
  • Filename
    1342361