| 大数据技术在城市轨道交通车辆RAMS验证过程中的应用 |
| |
| 引用本文： | 王伟,李永生,段洪亮.大数据技术在城市轨道交通车辆RAMS验证过程中的应用[J].城市轨道交通研究,2020(2):1-4. |
| |
| 作者姓名： | 王伟 李永生 段洪亮 |
| |
| 作者单位： | 中车长春轨道客车股份有限公司科技管理部;中车长春轨道客车股份有限公司基础研发部;中车长春轨道客车股份有限公司总体研发部 |
| |
| 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。
|
| 关 键 词： | 城市轨道交通 车辆 RAMS验证 大数据技术 |
Application of Big Data Technology in Urban Rail Transit Vehicles RAMS Verification |
| |
| WANG Wei,LI Yongsheng,DUAN Hongliang.Application of Big Data Technology in Urban Rail Transit Vehicles RAMS Verification[J].Urban Mass Transit,2020(2):1-4. |
| |
| Authors: | WANG Wei LI Yongsheng DUAN Hongliang |
| |
| Institution: | (CRRC Changchun Railway Vehicles Co.,Ltd.,130062,Changchun,China) |
| |
| Abstract: | 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. |
| |
| Keywords: | urban rail transit vehicle RAMS testification big data technology |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
