Neural network based fault diagnosis expert system for electronic equipment
Lei Han · Electronics Optics & Control · 2005
It's very important to make fault diagnosis for electronic equipment and repaire it quickly and accurately. On the basis of analyzing the advantages and disadvantages when expert system or neural network is applied separately to equipment fault diagnosis, the paper introduces an integrated fault diagnosis expert system which combines the neural network with traditional expert system organically. It is proved that the inference efficiency of the whole system is improved, and the system is robust, transparent and flexible. It is effective to fault diagnosis.