基于贝叶斯网络的矿井提升机制动系统故障树分析  

Hoist Braking System of Mine Fault Tree Analysis Based on Bayesian Network

作　　者：阎雨薇 刘混举[1] 

机构地区：[1]太原理工大学机械工程学院,太原030024

出　　处：《煤矿机械》2014年第4期258-260,共3页Coal Mine Machinery

基　　金：山西省科技重大专项(20111101040-02)

摘　　要：基于单纯的故障树分析法对事件二态性的假定具有一定局限性,根据贝叶斯网络与故障树之间的映射关系,可将矿井提升机制动系统故障树中的各事件作为贝叶斯网络中的节点,各节点的多态性可运用多维变量来描述;进而可计算出系统故障相应的条件概率分布。从矿井提升机制动系统故障概率分布的计算分析结果可以看出,通过结合贝叶斯网络法和故障树分析法分析各故障事件之间的逻辑关系的不确定性和多态性,能够更为准确地分析矿井提升机制动系统故障概率分布。The fault tree analysis method only has certain limitations on the assumption that events in two states, according to the mapping relationship between the Bayesian network and the fault tree, the mine hoist braking system of each event of fault tree of nodes in the network as Bayesian, polymorphism of each node can be used to describe the multidimensional variables; then the corresponding conditional probability distribution system fault calculation. From the results of the calculation of the failure probability distribution of the braking system of mine hoist, by combining the Bayesian network method and the fault tree analysis method for analysis of the logical relationship between the fault event uncertainty and polymorphism, can provide a more accurate analysis of mine hoist braking system failure probability distribution.

关 键 词：提升机 制动系统 故障树 贝叶斯网络 故障概率分布 

分 类 号：TD534[矿业工程—矿山机电]