DocumentCode :
1461711
Title :
Fault detection and isolation on a PWM inverter by knowledge-based model
Author :
Peuget, Raphael ; Courtine, Stéphane ; Rognon, Jean-Pierre
Author_Institution :
Lab. d´´Electrotech., Inst. Nat. Polytech. de Grenoble, France
Volume :
34
Issue :
6
fYear :
1998
Firstpage :
1318
Lastpage :
1326
Abstract :
This paper presents an approach based on knowledge models to detect and isolate faults in a pulsewidth modulation inverter supplying a synchronous machine. These faults do not affect the system protection. A diagnosis system which uses only the input variables of the drive is presented. It is based on the analysis of the current-vector trajectory and of the instantaneous frequency in faulty mode. These two methods have been successfully applied to an experimental system
Keywords :
PWM invertors; electric machine analysis computing; fault location; knowledge based systems; synchronous motor drives; PWM inverter; current-vector trajectory; diagnosis system; drive input variables; fault detection; fault isolation; instantaneous frequency; knowledge-based model; pulsewidth modulation inverter; synchronous motor; Breakdown voltage; Capacitors; Circuit faults; Current measurement; Fault detection; Frequency; Input variables; Pulse inverters; Pulse width modulation inverters; Synchronous motors;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/28.739017
Filename :
739017
Link To Document :
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