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本研究开发了一套航空电子系统的故障诊断专家系统,系统采用了故障树分析方法,利用神经网络的自学习功能以及基于规则的推理方法。研究了在开发专家系统过程中常用的一些关键技术:知识库设计、推理方法及自学习方法。
This research develops a fault diagnosis expert system of avionics system. The system uses fault tree analysis method, self-learning function using neural network and rule-based reasoning method. Some key technologies commonly used in the development of expert systems are studied: knowledge base design, reasoning methods and self-learning methods.