基于T-S模糊故障树的转向架多态可靠性研究
刘雅萍1，卢兴旺2，戴鑫亮*,3
（1.中车青岛四方机车车辆股份有限公司 技术中心，山东 青岛 266111；2.中车株洲电力机车有限公司，湖南 株洲 412001；3.西南交通大学 牵引动力国家重点实验室，四川 成都 610031）
摘要：转向架是车辆系统的重要组成部件之一，由于其结构复杂，很难获得各个零部件完备的失效数据，这给转向架系统可靠性的研究带来了较大的困难。为了解决这一问题，本文采用建立T-S模糊故障树的方法对转向架系统进行可靠性建模。在引入专家库系统的情况下，邀请从事相关研究的具有不同工作背景的专家对各个故障的严重程度给出自然语言描述，利用模糊理论将专家对T-S模糊门规则的自然语言描述转化为模糊概率。同时构建转向架系统模糊故障树，并将其转换为贝叶斯网络进行分析计算，获得转向架在不同状态下各个零部件的关键重要度。计算结果表明，在转向架系统处于不同状态时，系统内各部件的重要度也有所不同。
关键词：转向架；可靠性；模糊理论；T-S模糊故障树；贝叶斯网络
中图分类号：U268.3 文献标志码：A doi：10.3969/j.issn.1006-0316.2022.07.005
文章编号：1006-0316 (2022) 07-0029-07
Multi-State Reliability Study of Bogies Based on T-S Fuzzy Fault Tree
LIU Yaping1，LU Xingwang2，DAI Xinliang3
( 1.R&D Center, CRRC Qingdao Sifang Co., Ltd., Qingdao 266111, China; 2.CRRC Zhuzhou Locomotive Co., Ltd., Zhuzhou 412001, China; 3.State key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China )
Abstract：Bogie is one of the important components of the vehicle system. Due to its complex structure, it is difficult to obtain complete failure data of each component, which brings great difficulties to the study of the reliability of this bogie system. To solve this problem, in this paper, the reliability modelling of the bogie system is carried out using T-S fuzzy fault trees. With the introduction of an expert database system, experts with different working backgrounds engaged in related research are invited to give natural language descriptions of the severity of each fault, and the natural language descriptions of the T-S fuzzy gate rules by experts are transformed into fuzzy probabilities using fuzzy theory. The fuzzy fault tree of the bogie system is also constructed and converted into a Bayesian network for analysis and calculation to obtain the importance of each component of the bogie in different states. The results show that the importance of each component in the system varies when the bogie system is in different states.
Key words：bogie；reliability；fuzzy theory；T-S fuzzy fault tree；Bayesian network
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收稿日期：2021-12-21
作者简介：刘雅萍（1978－），女，甘肃武威人，高级工程师，主要研究方向为轨道车辆工程，E-mail：liuyaping@cqsf.com。*通讯作者：戴鑫亮（1992－），男，新疆乌鲁木齐人，博士研究生，主要研究方向为机车车辆可靠性、维修性、数据分析等，E-mail：dxl@my.swjtu.edu.cn。
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