摘要
基于余热排出泵的故障树建立了贝叶斯故障诊断网络。在FT/BN基本转换的基础上,分析了多态逻辑表达的方法和不确定性问题的条件概率表的确定,运用专家分段投票的方法建立了BN网络根节点概率。所建网络可通过节点重要度、灵敏度分析和双向诊断等功能为设备设计使用和维修决策提供参考。
The Bayesian fault diagnosis networks of heat removal pump were built based on its fault tree.As the basic conversion method of FT/BN was shown,the expression of multi-formed logic and condition probability table of non-determinism was analyzed.The root nodes＇ probability was gain by the subsection voting with specialists.The node significance,sensitivity analysis and bidirectional diagnoses provide decision for equipments in designing,using and maintaining.
出处
《原子能科学技术》
EI
CAS
CSCD
北大核心
2012年第B09期335-340,共6页
Atomic Energy Science and Technology
关键词
余热排出泵
故障诊断
贝叶斯网络
多态逻辑
不确定性
heat removal pump
fault diagnosis
Bayesian networks
multi-formed logic
non-determinism
