摘要
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。
By means of fault tree, neutral network and rule-based analysis method, a aviation electronic fault diagnosis expert system based on artificial neutral network was constructed. Then several major technology problems for expert system realization are discussed, such as knowledge database design, reasoning method and self-learning method .
出处
《测控技术》
CSCD
2004年第11期55-57,共3页
Measurement & Control Technology
基金
航空科学基金资助项目(01134002)
关键词
故障树
神经网络
故障诊断
专家系统
fault tree
neutral network
fault diagnosis
expert system
