Title : 
Broken bars fault diagnosis in induction machine fed by a voltage source inverter
         
        
            Author : 
Soufi, Youcef ; Bahi, Tahar ; Lekhchine, S. ; Merabet, H. ; Harkat, M.F.
         
        
            Author_Institution : 
Dept. of Electr. Eng., Univ. of Tebessa, Tébessa, Algeria
         
        
        
        
        
        
            Abstract : 
In this paper, we present the modeling of the induction machine, taking into consideration the rotor fault in order to detect and diagnosis rotor broken bars the analysis of stator current in Concordia pattern compared to the healthy mode case. The obtained results show that the considered method can effectively detect abnormal operating conditions in induction motor and clearly show the possibility of extracting signatures to detect fault. These techniques offer reliable and satisfactory results to diagnose such fault.
         
        
            Keywords : 
asynchronous machines; fault diagnosis; invertors; machine theory; stators; Concordia pattern; induction machine modeling; rotor broken bar fault diagnosis; rotor fault detection; signature extraction; stator current analysis; voltage source inverter; Bars; Induction motors; Resistance; Rotors; Stator windings; Torque; Detection; Fault diagnosis; induction motor; motor current signature;
         
        
        
        
            Conference_Titel : 
Ecological Vehicles and Renewable Energies (EVER), 2013 8th International Conference and Exhibition on
         
        
            Conference_Location : 
Monte Carlo
         
        
            Print_ISBN : 
978-1-4673-5269-7
         
        
        
            DOI : 
10.1109/EVER.2013.6521560