摘要
文章首先指出应用贝叶斯网络模型进行设备故障诊断具有的优势,提出了由常用的故障树模型建造贝叶斯网络的方法。然后详细比较了故障树与贝叶斯网络在诊断推理和模型表达方面的特点,并以实例进行说明。
This paper firstly proposes that bayesian network is a powerful uncertainty reasoning model.Then it suggests a method for construction of bayesian networks based on fault trees widely used by engineers.At last some characteris-tics of bayesian networks compared with fault trees are pointed out through an example.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第24期225-228,共4页
Computer Engineering and Applications
基金
国家自然科学基金项目(编号:59775025)
"十五"部委预研项目资助
关键词
故障诊断
贝叶斯网络
故障树
不确定性推理
概率理论
Fault Diagnosis,Bayesian Networks,Fault Tree,Uncertainty Reasoning,Probability Theory