Title : 
A Novel Method of Induction Motor Stator Fault Diagnosis
         
        
            Author : 
Hou Hai-Liang ; Yang Tong-Guang
         
        
            Author_Institution : 
Dept. of Commun. & Control Eng., Hunan Inst. of Humanities, Sci. & Technol., Loudi, China
         
        
        
        
        
        
            Abstract : 
Based on Takagi-Sugeno (T-S) fuzzy observer, present a new type fault diagnosis method for induction motor stator. The residuals using observer estimation output error generated, constitute effective criterion for fault diagnosis. At first, use the Lyapunov stability theory analysis the observer´s stabilities, then set the observer pole configuration in the S plane of the designated area, The simulation results show that the method has stronger performance of fault diagnosis, and have good identification performance in full speed range.
         
        
            Keywords : 
Lyapunov methods; estimation theory; fault diagnosis; induction motors; observers; stability; stators; Lyapunov stability theory; S plane; Takagi-Sugeno fuzzy observer; fault diagnosis method; induction motor stator fault diagnosis; observer estimation output error; observer pole configuration; Automation; Manufacturing; fault diagnosis; flux leakage regurator; fuzzy observer; pole configuration; speed identification;
         
        
        
        
            Conference_Titel : 
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
         
        
            Conference_Location : 
Qingdao
         
        
        
            DOI : 
10.1109/ICDMA.2013.16