Title : 
Feature signal extraction of inter-turn short circuit fault in stator windings of induction motors
         
        
            Author : 
Boqiang, Xu ; Heming, Li ; Liling, Sun
         
        
            Author_Institution : 
Dept. of Electr. Eng., North China Electr. Power Univ., Hebei, China
         
        
        
        
        
        
            Abstract : 
This paper reviews briefly the typical methods to extract the feature signal of the inter-turn short circuit fault in the stator windings of induction motors, and points out that the phase difference of the stator three-phase winding current is more preferable than the others, as the fault feature signal. Moreover, a novel feature signal of the inter-turn short circuit fault is derived, and the corresponding extraction scheme, i.e., the voltage-current cross-correlation approach which is based on the cross-correlations of the stator three-phase voltages and currents, is presented in this paper. The proposed scheme is immune from the asymmetry of the three-phase power voltage sources, and thus superior to the other methods. The validity and effectiveness has been demonstrated by a series of experimental results.
         
        
            Keywords : 
correlation methods; fault diagnosis; feature extraction; induction motors; signal detection; stators; fault diagnosis; fault signals; feature extraction; induction motor; inter-turn short circuit fault; stator; three-phase winding current; voltage-current cross-correlation; Circuit faults; Coils; Data mining; Electrical fault detection; Fault detection; Feature extraction; Induction motors; Stator windings; Sun; Voltage;
         
        
        
        
            Conference_Titel : 
Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on
         
        
            Print_ISBN : 
0-7803-7657-9
         
        
        
            DOI : 
10.1109/ICIT.2002.1189870