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
Link To Document :
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