• DocumentCode
    2753429
  • Title

    Diagnostic Method of Induction Motor Stator Winding Interturn Short Circuit Fault Based on the Feature Impedance

  • Author

    Liu, Tong ; Huang, Jin ; Yang, Jiaqiang

  • Author_Institution
    Electr. Eng. Coll., Zhejiang Univ., Hangzhou
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    5718
  • Lastpage
    5722
  • Abstract
    A diagnostic method of induction motor stator winding interturn short circuit fault based on the feature impedance is proposed in this paper. The fundamental positive and negative sequence components of the voltage and current are separated effectively by the improved multiple reference frames theory and Hilbert transform, then the impedance matrix of the motor is calculated. Taking the fluctuation of the load, supply unbalance and the inherent asymmetry of the motor into account, the feature impedance Znp in the impedance matrix is selected as the stator winding interturn short circuit fault character, for its sensitivity and reliability. A series of experiments on a 4kW induction motor give the relationship between the amplitude of the feature impedance and the short circuit fault. Corresponding to the different input power, the fault diagnosis threshold and fault severity factor are set up. Experimental results demonstrate the effectiveness of this method
  • Keywords
    Hilbert transforms; electrical faults; fault diagnosis; impedance matrix; induction motors; stators; windings; Hilbert transform; fault diagnostic method; fault severity factor; feature impedance; impedance matrix; induction motor; multiple reference frames theory; stator winding interturn short circuit fault; Automation; Circuit faults; Educational institutions; Fault diagnosis; Fluctuations; Impedance; Induction motors; Intelligent control; Stator windings; Voltage; Induction motor; fault diagnosis; feature impedance; interturn short circuit; stator winding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714170
  • Filename
    1714170