NDLI: An improved signal processing-based fault detection technique for induction machine drives

Content Provider	IEEE Xplore Digital Library
Author	Henao, H. Capolino, G.A. Ferandez-Cabanas, M. Garcia-Melero, M.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Picardie Univ., Amiens, France (Henao, H.; Capolino, G.A.)
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.
Sponsorship	IEEE Industrial Electronics Soc
Starting Page	1386
Ending Page	1389
File Size	271774
Page Count	4
File Format	PDF
ISBN	0780379063
DOI	10.1109/IECON.2003.1280260
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Signal detection Fault detection Induction machines Electrical fault detection Frequency Torque Power system harmonics Power supplies Stators
Content Type	Text
Resource Type	Article

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