Research On The Fault Diagnosis Expert System Of Autoloader Device

With the development of artificial intelligence, there are the diagnosis techniques in a new phase ,which is intelligent diagnosis phase .Using the various methods in the fault diagnosis,especially,in connection with diagnosis subjects of large and complex machinery and equipment, diagnosis features will be described beneficially. The inference processes fit in with the objective reality better .At the same time ,the knowledge bottleneck problems of traditional fault diagnosis expert systems will be overcome .Some kinds of AI methods integrated can improve the levels and efficiency of fault diagnosis greatly.This paper provides a universal solution which can be used to intelligently diagnose autoloader's fault. It has the referential meaning for similar systems'designs. The system can be put into use to help improving the real-time fault diagnosis's accuracy and speed and enhances the reliability of autoloader greatly. Meanwhile, it drives the armored vehicles'automation in our country into a new level.In the neural network expert system's design, this paper carries out a brand-new design on the expert system's knowledge base, inference engine and explanation facility. In the expert system's knowledge base, autoloader knowledge is stored in the database with the object-oriented expression method. While neural network saves the weight and threshold as the implicit knowledge base in the database. The expert system and the neural network adopt backward and forward ratiocination and forward reasoning separately. The expert system's explanation mechanism adopts preset text and path tracking method, while the neural network's explanation mechanism presents the neural network's reversion reasoning process to the front of the users. Finally, this paper uses VC++ to realize the expert system of man-machine interface's design.