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城市轨道交通牵引供电系统跟踪识别指标研究

Research on Tracking and Identification Index of Urban Rail Transit Traction Power Supply System
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摘要 城市轨道交通牵引供电系统具有线长点多、无备用设备、工作环境狭窄、安装质量良莠不齐等特点,故障致灾类型复杂、成因众多,且不宜排查、风险性大,对其关键零部件进行跟踪监测是安全运营的迫切需求之一。文章对轨道交通牵引供电系统事故进行调研统计,推演致灾条件、致因路线、致灾后果及社会影响,形成牵引供电系统失效故障树;建立关键零部件贝叶斯网络模型并进行故障诊断,由此提出跟踪识别指标,为轨道交通牵引供电系统的状态监测提供理论指导。 Urban rail transit traction power supply system has the characteristics of long line with many points,no standby equipment,narrow working environment and uneven installation quality.The types of fault disasters are complex,there are many causes,and it is not suitable for troubleshooting and has high risk.Tracking and monitoring its key parts is one of the urgent needs of safe operation.In this paper,the accident of traction power supply system of rail transit is investigated and counted,the disast-causing conditions,the route of cause,the disaster-causing consequences and the social influence are deduced,and the traction power supply system failure tree is formed.The Bayesian network model of key parts is established and fault diagnosis is carried out,and tracking identification indexes are proposed to provide theoretical guidance for state monitoring of traction power supply system of rail transit.
作者 李晓聃 LI Xiaodan(China Railway Fourth Survey and Design Institute Group Co.,Ltd.,Wuhan 430063,China)
出处 《现代信息科技》 2021年第17期141-144,共4页 Modern Information Technology
基金 国家重点研发计划项目(2018YFB2100900)。
关键词 轨道交通 牵引供电系统 致灾机理 贝叶斯网络 rail transit traction power supply system disaster-causing mechanism Bayesian network
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