Title :
Cage Motor Faults Detection by Speed Estimation and Spectral Current Analysis
Author :
Bendiabdellah, Azeddine ; Benouzza, Noureddine ; Toumi, D.
Author_Institution :
Electrical Machine Diagnosis Laboratory, Faculty of Electrical Engineering, University of Science and Technology of Oran (USTO),. BP. 1505 El M´naouer, Oran 31000 Algeria. Fax: 213 41 425509 E-mail: bendiazz@yahoofr
Abstract :
A proposed algorithm for the detection and localization of rotor faults in a squirrel cage induction machine is presented in this paper. This algorithm uses the behavior of the current spectral analysis and the estimation of the rotor speed to detect bars faults in three phase induction machine. In order to simulate the faulty motor behavior, a mathematical model is being adopted and simulation results obtained verifies well the performance of the proposed algorithm.
Keywords :
Induction motor; broken bars faults; diagnosis; harmonics; squirrel cage;
Conference_Titel :
Power Electronics, Machines and Drives, 2006. The 3rd IET International Conference on
Conference_Location :
The Contarf Castle, Dublin, Ireland
Print_ISBN :
0-86341-609-8
