Expert system of fault diagnosis based on the neural network and regulations

After pointing out the limitations of expert system and neural network respectively, this article gives a model of fault diagnostic expert system which unifies the neural network and production rules. It also improves the BP neural network model and drives a global optimum algorithm that improves the ability of network. Practical applications prove that this method can solve the fault diagnostic problem of multi-fault and multi-procedure complicated mechanical devices