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基于大数据分析的动车组零部件修程修制优化研究 被引量:7

Research on Optimization of Repair Class and Repair System for Parts and Components of Multiple Units Based upon Big Data Analysis
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摘要 利用各平台记录的动车组维修记录数据,以客室门及座椅为例开展了最佳维修时机分析,研究结果可为修程修制的优化提供依据。 With use of the repair data recorded by the platforms for multiple units, the optimum repair time analysis is made with the doors and seats in passenger compartments as the example. The research result can be provided as the basis for optimization of repair class and repair system.
作者 张志昂 ZHANG Zhiang(male, born in 1973, senior engineer, Safety Supervision Administration of China Railway Corporation, Beijing 100844, China)
出处 《铁道车辆》 2019年第7期34-35,41,I0002,共4页 Rolling Stock
关键词 动车组 修程修制 优化 寿命 分析 multiple units repair class and repair system optimization service life analysis
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