Title :
Comparative study of two diagnosis methods induction machine
Author :
Ondel, O. ; Yazidi, A. ; Boutleux, E. ; Clerc, G. ; Henao, H. ; Casimir, R. ; Capolino, G.A.
Author_Institution :
Centre de Genie Electrique de Lyon, Ecole Centrale de Lyon, Ecully, France
Abstract :
Intensive research efforts have been focused on the signature analysis (SA) to detect electrical and mechanical fault condition of induction machines. Different signals can be used: voltage, current, flux and power. This paper is a comparative analysis of two different diagnosis methods that are used to detect and localize failures in induction motors. The first one is based on leakage flux measurement and the second one is a diagnosis method based on current, electrical power measurement and pattern recognition. A synthesis of two methods will be developed. It mainly concerns rotor faults.
Keywords :
electric machine analysis computing; fault diagnosis; induction motors; pattern recognition; signal processing equipment; diagnosis methods; electrical power measurement; induction machine; leakage flux measurement; mechanical fault condition; pattern recognition; rotor fault diagnosis; signature analysis; Current measurement; Electric variables measurement; Electrical fault detection; Failure analysis; Induction machines; Induction motors; Pattern recognition; Power measurement; Rotors; Voltage;
Conference_Titel :
Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8662-0
DOI :
10.1109/ICIT.2004.1490275