| 融合RCM、PHM和数据挖掘的城市轨道交通车辆维护决策技术研究 |
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| 引用本文： | 高明亮,高珊,于闯,石海明,刘德权,邵俊捷,贾颜菽,唐玉清,莫柳松. 融合RCM、PHM和数据挖掘的城市轨道交通车辆维护决策技术研究[J]. 城市轨道交通研究, 2021, 24(2): 64-68. DOI: 10.16037/j.1007-869x.2021.02.016 |
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| 作者姓名： | 高明亮 高珊 于闯 石海明 刘德权 邵俊捷 贾颜菽 唐玉清 莫柳松 |
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| 作者单位： | 中车长春轨道客车股份有限公司国家轨道客车工程研究中心,130062,长春;北京化工大学信息科学与技术学院,102299,北京;北京明略科技软件系统有限公司,100193,北京 |
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| 摘 要： | 提出了一种用于轨道交通车辆系统维修决策的RCM(以可靠性为中心的维修)可靠性评估的新方法.针对轨道交通车辆系统故障机理复杂,影响因素冗多,提出基于RCM、PHM(故障预测与健康管理)和数据挖掘算法相融合的方法来构建系统的维护决策模型.与传统方法的区别在于,该方法能够更精准地定义维护模型,并获得系统的最优维护间隔,计算效...
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| 关 键 词： | 城市轨道交通车辆 维护决策技术 故障预测与健康管理 以可靠性为中心的维修 数据挖掘 |
Research on Urban Rail Transit Vehicle Main-tenance Decision-making Technology In-tegrating RCM,PHM and Data Mining |
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| GAO Mingliang,GAO Shan,YU Chuang,SHI Haiming,LIU Dequan,SHAO Junjie,JIA Yanshu,TANG Yuqing,MO Liusong. Research on Urban Rail Transit Vehicle Main-tenance Decision-making Technology In-tegrating RCM,PHM and Data Mining[J]. Urban Mass Transit, 2021, 24(2): 64-68. DOI: 10.16037/j.1007-869x.2021.02.016 |
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| Authors: | GAO Mingliang GAO Shan YU Chuang SHI Haiming LIU Dequan SHAO Junjie JIA Yanshu TANG Yuqing MO Liusong |
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| Affiliation: | (CRRC Changchun Railway Vehicles Co.,Ltd.,130062,Changchun,China;不详) |
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| Abstract: | A new method of RCM reliability assessment for rail transit vehicle system maintenance decision-making is proposed.The fault mechanism of rail transit vehicle system is complicated,and the influencing factors are redundant.A method based on the integration of RCM,PHM and data mining algorithms is proposed to construct a system maintenance decision-making model.The difference with conventional method is that the proposed improved maintenance decision-making method can define the maintenance model with higher accuracy and acquire the optimal maintenance interval of the system.The calculation is highly efficient and applicable for the reliability calculation of complex state system.This method can effectively reduce the under maintenance situation of conventional RCM,and reduce operation and maintenance costs,possessing certain promotion and application value. |
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| Keywords: | urban rail transit vehicle maintenance decision-making technology prognostic health management(PHM) reliability centered maintenance(RCM) data mining |
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