DocumentCode :
3083701
Title :
Two knowledge-based approaches to fault detection and isolation on a PWM inverter
Author :
Peuget, R. ; Courtine, S. ; Rognon, J.P.
Author_Institution :
Lab. d´´Electrotechnique de Grenoble, ENSIEG, Sain Martin d´´Heres, France
fYear :
1997
fDate :
5-7 Oct. 1997
Firstpage :
565
Lastpage :
570
Abstract :
This paper presents an approach based on knowledge models to detect and isolate faults in a PWM inverter supplying a synchronous machine. These faults don´t affect the system protections. A diagnostic system which uses the input variables of the drive, the current measurements, is presented. It is based on the analysis of the current vector trajectory and of the inverter input current 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; synchronous machines; PWM inverter; current vector trajectory; fault detection; fault isolation; faulty mode; inverter input current; knowledge-based approaches; synchronous machine; Control systems; Current measurement; Fault detection; Input variables; Protection; Pulse width modulation inverters; Stators; Synchronous machines; Synchronous motors; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1997., Proceedings of the 1997 IEEE International Conference on
Conference_Location :
Hartford, CT, USA
Print_ISBN :
0-7803-3876-6
Type :
conf
DOI :
10.1109/CCA.1997.627716
Filename :
627716
Link To Document :
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