Title : 
Faults Diagnosis by Parameter Identification of the Squirrel Cage Induction Machine
         
        
            Author : 
Touhami, O. ; Fadel, M.
         
        
            Author_Institution : 
Nat. Polytech. Coll., Algiers
         
        
        
        
        
        
        
            Abstract : 
The authors present the faults diagnosis by parameter identification of the squirrel-cage rotor induction machine using real data. The model of electric parameter identification of the induction machine from the input-output observations of the stator is elaborated.To experimentally verify this approach, the tests are carried out on four squirrel-cage rotor induction machines especially constructed for the purpose of the diagnosis. All the model parameters of the squirrel-cage rotor induction machine are identified by least-squares method. Experimental results show good agreement and confirm the possibility the detection and localization of the faults.
         
        
            Keywords : 
asynchronous machines; fault diagnosis; fault location; least squares approximations; parameter estimation; rotors; stators; electric parameter identification; fault localization; faults diagnosis; least-squares method; squirrel-cage rotor induction machine; stator; Circuit faults; Electric machines; Electrical fault detection; Fault diagnosis; Induction machines; Parameter estimation; Production; Stators; Surveillance; Testing;
         
        
        
        
            Conference_Titel : 
Electric Machines & Drives Conference, 2007. IEMDC '07. IEEE International
         
        
            Conference_Location : 
Antalya
         
        
            Print_ISBN : 
1-4244-0742-7
         
        
            Electronic_ISBN : 
1-4244-0743-5
         
        
        
            DOI : 
10.1109/IEMDC.2007.382774