汽车故障诊断专家系统关键技术的研究与发展

Key technologies study and development for automobile fault diagnosis expert system

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。

Expert system for automobile fault diagnosis is an intelligent system,and its key technologies are knowledge acquisition,knowledge representation and inference strategy.Based on large collection of papers which on abroad or on home,some resolved methods had been presented,including improving of traditional method such as automotive acquisition of fault rules,combined knowledge representation and inference method diversification,applying of new theory or new technology such as case-base expert system,fuzzy-base expert system,neural network-base expert system and action-base expert system and so on.And then put forward to that intellectualization,cyberization and integration were the future development direction of automobile fault diagnosis expert system.