The Expert System Application In Fault Diagnose And Quality Forecast

The research of fault diagnose technology has important significance on ensuring equipment operation stabilization and improving the product's quality. This paper uses a design process of RMES as an example and discusses the advantage and disadvantage of expert system's application on fault diagnose. The following results have been researched:(1) Discusses the development of complex Expert System by common program develop software and database management system; The new method provides a better design style, more friendly user's interface and closer combination with the up-to-date theory than the Traditional Expert System develop tool's.(2) Design the structure of fault diagnose expert system and analysis each function module' structure particularly.(3) Discusses the application of fuzzy theory on expert system in the field of knowledge's express and knowledge's inference. And uses the fruit to construct the RMES's knowledge base and inference engine.(4) Divide the knowledge to three level. The express of knowledge is more effective than the common expert system. Ensures the consistency of knowledge by design the restriction between the different knowledge table.(5) Use the fault's valve value replace the rule's valve value in common fuzzy expert system. The inference machine's output is more reasonable, the RMES's user interface has a good information communication between user and RMES and users can learn expert's knowledge by use the system.(6) Discusses the application of neural network on expert system in the field of knowledge acquisition. Resolve the difficulty of knowledge acquisition. And declare a new method in knowledge acquisition. The dependence of expert is reduced.(7) Declare a new method of knowledge's auto-adjust, the knowledge can be improved when the Expert System is running.(8) Develop the Rubber Mixing Quality Forecasting Expert System(RMES) by using this paper's theory. And has a effective application in a large Rubber factory.