Title |
Fault Diagnosis based on Real-Time Data of the Inverter system for BLDCM drive |
Abstract |
This paper describes the fault diagnosis based on real-time data of the inverter system for brushless DC motor drive. After identifying all the fault types in the inverter system, a preliminary typical analysis of fault types has been classified into the key fault symptoms. The predicted fault performances are then substantiated by using ACSL(Advanced Continuous Simulation Language), and the simulated results are composed of knowledge-base. The real-time measured data from the inverter system are compared with the simulated knowledge-base through the inference engine of expert system, which have been used to diagnose the fault causes. If some faults may occur in the inverter system, this system will be stopped. And then the expertise of elimination and remedial strategies about the fault causes, will be supplied rapidly to operator who doesn"t know well about the inverter drive system. |