DocumentCode :
3181368
Title :
Fault detection and isolation on a PWM inverter by knowledge-based model
Author :
Peuget, R. ; Courtine, S. ; Rognon, J.P.
Author_Institution :
Lab. d´´Electrotech. de Grenoble, Saint Martin d´´Heres, France
Volume :
2
fYear :
1997
fDate :
5-9 Oct 1997
Firstpage :
1471
Abstract :
This paper presents an approach based on knowledge models to detect and localize faults in a PWM inverter supplying a synchronous machine. These faults don´t affect the system protection. A diagnostic 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; fault location; knowledge based systems; power engineering computing; PWM inverter; current vector trajectory analysis; diagnostic system; drive input variables; fault detection; fault isolation; faulty mode; instantaneous frequency analysis; knowledge-based model; synchronous machine; Breakdown voltage; Control systems; DC motors; Diodes; Fault detection; Input variables; Pulse width modulation inverters; Rectifiers; Synchronous motors; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 1997. Thirty-Second IAS Annual Meeting, IAS '97., Conference Record of the 1997 IEEE
Conference_Location :
New Orleans, LA
ISSN :
0197-2618
Print_ISBN :
0-7803-4067-1
Type :
conf
DOI :
10.1109/IAS.1997.629048
Filename :
629048
Link To Document :
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