The Study of Fault Diagnosis the High-Voltage Circuit Breaker Based on Neural Network and Expert System

Abstract

An intelligent fault diagnosis system based on neural network and expert system integration is studied. The system uses neural networks to acquire fault codes and the corresponding type of fault, which are stored the knowledge base. In fault diagnosis, the expert system uses fault codes that can be found the corresponding fault type from the knowledge base through forward reasoning, and gives a reasonable solution. Meanwhile, this system also overcomes some shortcomings that the neural network doesn’t have functional and expert system has difficult to acquire knowledge. Used neural network and expert system in high-voltage circuit breaker fault diagnosis, the simulation indicates that this method is effective and feasible.