在收集整理大量国内外相关研究文献的基础上,针对知识获取方法、 知识表示方法及推理策略等这些

关键技术相应的解决方法进行了分析,包括对传统方法的改进,如故障规则的自动获取、 组合的知识表示方法和

推理方法的多样化等,以及新理论新技术的应用,如基于案例的专家系统、 基于模糊的专家系统、 基于神经网络

的专家系统以及基于行为的专家系统等,并提出智能化、 网络化和集成化是未来故障诊断专家系统的发展方向。

-Collected a large number of domestic and foreign in the literature based on the method for knowledge acquisition, knowledge representation and reasoning strategies in these key technologies corresponding solutions are analyzed, including the improvement of traditional methods, such as the failure to automatically obtain the rules, combination of knowledge representation and reasoning methods of diversification, and new theories of new technologies, such as case-based expert system, fuzzy expert system, neural network based expert systems and behavior-based expert system, etc., and put forward intelligence, networking, and integrated fault diagnosis expert system is the future direction of development.