The Expert Forecast System of Equipment Maintenance Based on the Artificial Neural Network

摘要

The maintenance and forecast expert system of equipment based on the Artificial Neural Network is composed of the control, measure, failure forecast, execution, data process module and database. The data process module gets the change of the controlled objects’ structure and parameters then takes correspondent measures according to the examination and diagnosis information. The failure forecast module finds the control system fault, separates the fault symptom location, tells the fault kind, estimates the magnitude and time of the fault, and finally makes evaluation and decision.