摘要
以某城市轨道交通车辆项目的RAMS(可靠性、可用性、可维护性、安全性)验证为例,在利用设计原理推断故障原因遇到瓶颈时,利用大数据技术,迅速分析比对,找出了真正的故障原因,排除了多个非车辆本身因素导致的故障。由此证明大数据技术在车辆运营数据和试验数据分析及数据深度挖掘中具有重要价值。
Based on the RAMS verification(reliability,availability,maintainability,safety)of a certain urban rail transit vehicle project,while obstacles in deducting failure causes occurred,big data technology was used to analyze and compare efficiently,the actual failure cause was allocated and many causes that were not not coming from vehicle itself were excluded.It proves that big data technology has significant value in analysis of vehicle operational data and test data,as well as deep data mining.
作者
王伟
李永生
段洪亮
WANG Wei;LI Yongsheng;DUAN Hongliang(CRRC Changchun Railway Vehicles Co.,Ltd.,130062,Changchun,China)
出处
《城市轨道交通研究》
北大核心
2020年第2期1-4,共4页
Urban Mass Transit
