摘要
利用故障树成熟的方法,建立基于故障树的贝叶斯网络模型;根据故障诊断的一般思维,综合考虑故障特征信息量、搜索代价、故障概率等因素制定了最优故障搜索策略,并以某装甲车辆典型故障为例验证了该方法的有效性和准确性,实现了故障诊断过程的优化.
This paper establishes the Bayesian networks model based on the mature establish method of fault tree. On the basis of commonly thought of fault diagnosis. This paper presents the optimize fault search strategy integrated the factor of fault character information, search cost, fault probability and so on. The typical fault of the armored vehicle validates the veracity of this method.
出处
《车辆与动力技术》
2008年第3期40-43,59,共5页
Vehicle & Power Technology
关键词
贝叶斯网络
故障树
故障特征信息
搜索策略
装甲车辆
Bayesian networks
fault tree
fault character information
search strategy
armored vehicles
