诊断型专家系统（expert system for diagnosis）是专家系统中院较成功的一种，它能根据取得的现象、数据或事实推断出系统是否有故障，并能找如故障原因，给出摊豫故障的方案。
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故障诊断型专家系统最重要的问题是知识表示和推理机制。
The important problems of malfunction diagnosis expert system are knowledge representation and reasoning mechanism.
描述一种诊断型专家系统，它统属于基于规则的产生式系统，推理机是核心部分，分别采用了正向、反向推理技术。
The system is a rule-based production system. Inference engine is the core part of expert system. We use forward chaining and backward chaining at the same time.
针对传统专家系统和神经网络的各自特点，将两者有机结合，构造了一种基于神经网络的混合型故障诊断专家系统。
According to the characters of traditional expert system and neural network, a neutral - network - based mixed fault diagnosis expert system was designed.
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