Journal of Computational and Applied Mathematics
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This paper describes a fault diagnosis expert system for cement kiln developed in the way of integrating the new theories and methods of artificial intelligence and network technology with related production technology. The system can give online fault diagnosis and has features of simple network interface, excellent openness and easy expansibility. The design of the system layout, database, knowledge base and reasoning engine is presented in detail. The experiment application in a factory shows its high adaptability and the wide prospect of the system.