摘要
航天测控设备是个复杂的大系统,为了对设备故障进行快速、准确诊断,基于CBR和RBR混合推理的专家系统诊断方法与基于故障树模型的诊断方法,设计了航天测控设备离线式智能故障诊断系统。详细介绍了基于CBR和RBR混合推理专家系统的层次诊断结构模型、知识表示方法以及CBR和RBR诊断推理机制,建立了基于故障树的图论模型,给出了基于故障树模型的知识表示方法和诊断推理方法。采用面向对象的方法,系统基于Visual C++和CLIPS环境得到了实现。
To make quick fault- location and correct diagnosis of space tracking telemetry and command （TT＆C） equipment, an off- line intelligent fault diagnosis system for space Tr＆c equipment is designed, which combines two methods, expert system based on CBR - RBR hybrid inference and based on fault tree graphics model. The hierarchy diagnosis model, knowledge presentation means and inference mechanism of the expert system based on CBR and RBR are introduced in detail. And then, the graphics model based on fault tree is established. The knowledge presentation and inference technique is expatiated. Based on Visual C ＋ ＋ 6.0 and CLIPS（C Language Integrated Production System）, the system is accomplished by means of the object- oriented programming method.
出处
《电讯技术》
北大核心
2009年第8期54-58,共5页
Telecommunication Engineering
关键词
航天测控系统
智能故障诊断
故障树
图论模型
专家系统
space TT＆C system
intelligent fault diagnosis
fault tree
graphics model
expert system
