基于故障树和产生式规则的故障诊断专家系统设计OACSTPCD

[Objective]To fully utilize the experience of nuclear power plant operation and management to assist nuclear power operators in fault diagnosis,a marine nuclear power plant fault diagnosis expert system is designed.[Method]First,based on the logical consistency between fault trees and production rules,a meth-od is proposed to transform fault tree knowledge into production rules.The knowledge base and inference ma-chine of the expert system are then optimized by using a mixed forward and backward inference method,and a forward inference strategy is designed to simplify the inference process based on the minimum cut set and im-portance analysis results of the fault tree.Finally,based on the idea of manually judging the fault status,a status monitoring module is designed to collect key equipment parameters in real time and convert them into equipment information that can be recognized by expert systems.[Results]The results show that the pro-posed method solves the problem of difficult knowledge acquisition in expert systems and improves inference efficiency while ensuring inference accuracy,thereby achieving the online fault diagnosis function of expert systems.[Conclusion]Using the proposed method can enhance the knowledge acquisition ability and infer-ence efficiency of expert systems,which is of great significance for ensuring the operational management safety of nuclear power plants.