中国机械工程

• 机械基础工程 • 上一篇    下一篇

动车组受电弓系统失效风险分析

齐金平1,2;李兴运1   

  1. 1.兰州交通大学机电技术研究所, 兰州,730070
    2.甘肃省物流及运输装备信息化工程技术研究中心,兰州,730070
  • 出版日期:2018-04-10 发布日期:2018-04-03
  • 基金资助:
    铁路总公司科研计划资助项目(2015T002-D);
    甘肃省财政厅资助项目(214153);
    兰州交通大学优秀科研平台(团队)计划资助项目(201604)

Failure Risk Analysis of EMU Pantograph Systems

QI Jinping1, 2;LI Xingyun1   

  1. 1.Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou,730070
    2.Engineering Technology Center for Informatization of Logistics & Transport Equipment,Lanzhou,730070
  • Online:2018-04-10 Published:2018-04-03

摘要: 针对系统失效风险分析过程中数据缺失、多源异构和认知不确定的实际情况,提出了利用模糊故障树构建多态模糊贝叶斯网络来对系统失效风险进行分析,根据各根节点模糊故障率计算出中间节点和叶节点不同故障状态的模糊可能性,同时对各根节点灵敏度进行分析,并对其实际意义进行了说明,最后根据所提方法对动车组受电弓系统进行了失效风险分析。分析结果表明,网压互感器破损、疲劳性裂纹、控制阀板风管破损为高风险事件,与实际情况一致,同时该方法也扩展了贝叶斯网络在实际工程中的应用。

关键词: 动车组, 受电弓, 失效风险, 模糊故障树, 贝叶斯网络, 灵敏度

Abstract: Aiming at the actual situations of data losses, multi-source heterogeneity and cognitive uncertainty in the failure risk analysis processes, polymorphic fuzzy Bayesian network was constructed to analyze failure risks of the system using fuzzy fault tree. According to the fuzzy fault probabilities of each root node, the fuzzy possibilities of the intermediate nodes and the leaf nodes were calculated under different fault states. Meanwhile the sensitivity of each nodes was analyzed, and the practical significance was explained. Finally, failure risk analyses of the pantograph systems were carried out according to the above mentioned. The analysis results show that the damages of the net pressure transformer, the fatigue cracks and the duct damages of the control valve plate are high risk events, which are consistent with the actual situations. At the same time, the method also extends the applications of the Bayesian network in practical engineerings.

Key words: EMU;pantograph, failure risk, fuzzy fault tree, Bayesian network, sensitivity

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