DocumentCode :
2723654
Title :
An improved signal processing-based fault detection technique for induction machine drives
Author :
Henao, H. ; Capolino, G.A. ; Ferandez-Cabanas, M. ; Garcia-Melero, M.
Author_Institution :
Dept. of Electr. Eng., Picardie Univ., Amiens, France
Volume :
2
fYear :
2003
fDate :
2-6 Nov. 2003
Firstpage :
1386
Abstract :
The aim of this paper is to present a new method for accurate three-phase induction machine fault detection using a simple torque excitation technique with the electrical drive. Since it is well recognize that side band harmonics around the fundamental are good candidates for electrical fault detection in three-phase induction machine, the magnitude evaluation of these harmonics is a tricky problem especially with non-sinusoidal power supply. The idea is to excite more these harmonics without high torque quality deterioration and to evaluate their magnitude for rotor fault detection and localization. The technique is presented and applied on a 11 kW-230V/400V-50 Hz-4 poles three-phase squirrel-cage induction machine.
Keywords :
fault location; harmonics; induction motor drives; signal processing; squirrel cage motors; 11 kW; 230 V; 400 V; 50 Hz; electrical drive; electrical fault detection; fault detection; induction machine drives; nonsinusoidal power supply; side band harmonics; signal processing-based fault detection technique; three-phase induction machine; three-phase squirrel-cage induction machine; torque excitation technique; Electrical fault detection; Fault detection; Frequency; Induction machines; Power supplies; Power system harmonics; Signal detection; Signal processing; Stators; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
Type :
conf
DOI :
10.1109/IECON.2003.1280260
Filename :
1280260
Link To Document :
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