基于贝叶斯网络的掘进机行走机构故障树分析  被引量:4

Fault Tree Analysis of Walking Mechanism of Roadheade Based on Bayesian Network

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作  者:穆宜敏 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》2015年第6期297-300,共4页Coal Mine Machinery

基  金:山西省科技重大专项子专项(20111101040-02)

摘  要:介绍了掘进机行走机构的工作原理,建立的掘进机行走机构的故障树,建立了掘进机行走机构的贝叶斯网络模型,建立了掘进机行走结构的贝叶斯网络与故障树之间的映射关系,计算出掘进机行走机构各事件的概率分布表。将故障树分析发与贝叶斯网络法相结合,弥补各自在掘进机行走机构可靠性分析方面的不足,可以更加准确有效地得到掘进机行走机构的条件概率分布。Introduced the work principle of the machine and the components of the machine running gear, and then the fault tree of the organization of the walking machine, machine running gear of Bayesian network model is established, the walking machine structure of Bayesian networks is established and the mapping relationship between the fault tree, calculate the machine motion mechanism of the probability of each event table. Send the fault tree analysis method with Bayesian network method, make up for their respective in reliability analysis of the deficiency of machine walking mechanism, travel mechanism can be more accurately and effectively machine of conditional probability distribution.

关 键 词:掘进机 行走机构 故障树分析 贝叶斯网络 条件概率分布 

分 类 号:TD421.5[矿业工程—矿山机电]

 

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