Title :
Squirrel cage rotor faults detection in induction motor utilizing stator power spectrum approach
Author :
Drif, M´hamed ; Benouzza, N. ; Kraloua, B. ; Bendiabdellah, A. ; Dente, J.A.
Author_Institution :
Univ. of Sci. & Technol. of Oran, Algeria
Abstract :
Early detection of abnormalities in the motor will help avoid expensive failure. It has been shown that rotor faults such as broken rotor bars can be detected by several methods. This paper deals with the application of the spectral analysis of the instantaneous power for the detection of rotor cage faults in operating three phase induction motors. This approach carries more information than that of the current spectral analysis approach. Both simulation and experimental results are presented to illustrate the merits of the proposed instantaneous power approach.
Keywords :
fault diagnosis; machine testing; machine theory; rotors; spectral analysis; squirrel cage motors; broken rotor bars; instantaneous power spectral analysis; squirrel cage rotor faults detection; stator power spectrum approach; three-phase induction motors;
Conference_Titel :
Power Electronics, Machines and Drives, 2002. International Conference on (Conf. Publ. No. 487)
Print_ISBN :
0-85296-747-0
DOI :
10.1049/cp:20020102