摘要
针对传统的故障树分析方法在复杂系统故障诊断中存在的局限性,论文在定义了故障贝叶斯网及其概率计算的基础上,建立了故障树事件与贝叶斯网结点、故障树逻辑门与贝叶斯网概率分布之间的映射关系,详细研究了将故障树映射为故障贝叶斯网的转变性质,以及利用映射故障贝叶斯网进行故障诊断过程。最后以一种飞机雷达系统故障诊断为例验证了本文所提出的方法。
Aiming at the deficiency of traditional fault tree analysis in fault diagnosis of complex systems, mapping relations from events of fault trees to nodes of Bayesian networks and from logic gates of fault trees to probability distributions of Bayesian networks are established based on the definition of fault Bayesian network and its probability computations. The tramsformation properties, in which the fault tree is mapped into fault Bayesian network, are researched in detail, and the processes used fault Bayesian network to make fault diagnosis are described. Finally the proposed method is validated by the example of fault diagnosis in an aero plane radar system.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2009年第7期1481-1486,共6页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(70631003
70801024)
安徽省自然科学基金(070416241)资助项目
关键词
贝叶斯网
故障诊断
故障树
映射
信念传播
Bayesian network
fault diagnosis
fault tree
mapping
belief propagation