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

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.