NDLI: Fault detection and diagnosis in an induction machine drive: a pattern recognition approach based on Concordia stator mean current vector

Content Provider	IEEE Xplore Digital Library
Author	Diallo, D. Benbouzid, M.E.H. Hamad, D. Pierre, X.
Copyright Year	2003
Description	Author affiliation: Centre de Robotique d'Electrotechnique et d'Automatique, Univ. de Picardie, Amiens, France (Diallo, D.; Benbouzid, M.E.H.)
Abstract	The aim of this paper is to study the feasibility of fault detection and diagnosis in a three-phase inverter feeding an induction motor. The proposed approach is a sensor-based technique using the mains current measurement. A localization domain made with seven patterns is built with the stator Concordia mean current vector. One is dedicated to the healthy domain and the last six to each inverter switch. A probabilistic approach for the definition of the boundaries increases the robustness of the method against the uncertainties due to measurements and to the PWM. In high power equipment where it is crucial to detect and to diagnose the inverter faulty switch, a simple algorithm compares the patterns and generates a Boolean indicating the faulty device. In low power application (less than 1 kW) where only fault detection is required, a radial basis function (RBF) evolving architecture neural network is used to build the healthy operation area. Simulated experimental results on a 0.3-kW induction motor drive show the feasibility of the proposed approach.
Sponsorship	IEEE Power Eng., Power Electon., Ind. Electron. & Ind. Appl. Soc.
Starting Page	1448
Ending Page	1453
File Size	451946
Page Count	6
File Format	PDF
ISBN	0780378172
DOI	10.1109/IEMDC.2003.1210642
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault detection Fault diagnosis Induction machines Pattern recognition Stators Switches Pulse width modulation inverters Pulse width modulation Induction motors Current measurement
Content Type	Text
Resource Type	Article

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Fault detection and diagnosis in an induction Machine drive: a pattern recognition approach based on concordia stator mean current vector

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