Fault detection and isolation on a PWM inverter by knowledge-based model

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...

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Bibliographic Details
Published inIEEE transactions on industry applications Vol. 34; no. 6; pp. 1318 - 1326
Main Authors Peuget, R., Courtine, S., Rognon, J.-P.
Format Journal Article
LanguageEnglish
Published IEEE 01.11.1998
Subjects
Breakdown voltage
Capacitors
Circuit faults
Current measurement
Fault detection
Frequency
Input variables
Pulse inverters
Pulse width modulation inverters
Synchronous motors
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0093-9994
1939-9367
DOI:10.1109/28.739017