System Reliability Analysis of CRH380BL EMUs Pantograph

Yuanfei WANG; Hairong SUN; Chunxing PEI; Jie JIANG; Xiansheng LIU

doi:10.13890/j.issn.1000-128x.2019.04.017

您当前的位置：

首页 >

文章列表页 >

System Reliability Analysis of CRH380BL EMUs Pantograph

更新时间：2021-12-13

- System Reliability Analysis of CRH380BL EMUs Pantograph
- Electric Drive for Locomotives Issue 4, Pages: 77-83,119(2019)
- 作者机构：
  
  1.中车唐山机车车辆有限公司　技术研究中心，河北　唐山　063035
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2019.04.017
  CLC：
扫描看全文
Yuanfei WANG, Hairong SUN, Chunxing PEI, et al. System Reliability Analysis of CRH380BL EMUs Pantograph. [J]. Electric Drive for Locomotives (4):77-83,119(2019)
DOI：

Yuanfei WANG, Hairong SUN, Chunxing PEI, et al. System Reliability Analysis of CRH380BL EMUs Pantograph. [J]. Electric Drive for Locomotives (4):77-83,119(2019) DOI： 10.13890/j.issn.1000-128x.2019.04.017.

摘要

基于CRH380BL型动车组受电弓的历史故障数据，利用可靠性数据分析方法，针对4种主要故障零件，研究其故障分布规律，进而评估受电弓整个系统的可靠性水平。在受电弓零部件中发生故障的主要是ADD及供风管、供风管路、10-X01继电器和升弓气囊4个部分。研究表明，ADD及供风管与10-X01继电器的故障分布规律为两参数威布尔分布，供风管路与升弓气囊的故障分布规律为指数分布。利用可靠性分析的方法找出受电弓系统可靠性的薄弱环节，为动车组故障检修与预警提供理论依据。

Abstract

Based on the historical fault data of pantograph of CRH380BL EMUs, the fault distribution law of four main fault parts was studied by using the method of reliability data analysis, and then the reliability level of pantograph system was evaluated.ADD and air supply pipe, air supply pipe line, 10-X01 relay and pantograph airbag were the four parts that cause the most faults in pantograph. The results showed that the fault distribution of ADD, air supply pipe and 10-X01 relay is two-parameter Weibull distribution, and the fault distribution law of air supply pipe line and bow airbag is exponential distribution. Using the method of reliability analysis, the weak link of pantograph system reliability could be find out, which provided theoretical basis for EMUs fault overhaul and early warning.

关键词

动车组受电弓可靠性分析故障分布故障预警数据分析

Keywords

EMUspantographreliability analysisfault distributionfault alarmdata analysis

references

朱星光, 陈善乐, 秦建伟. 广州地铁2号线弓网关系优化设计研究[J]. 铁道工程学报, 2015 (7): 62-67.

涂建国, 胡海丽, 黄凤, 等. 受电弓拉杆断裂失效分析[J]. 热处理技术与装备, 2014, 35(5): 30-33.

江亚男, 张卫华, 邹栋, 等. 考虑风载的高速列车受电弓静强度分析[J]. 铁道机车车辆, 2014, 34(1): 120-125.

贾潞. 基于风险管理的动车组受电弓故障树分析[D]. 成都: 西南交通大学, 2015.

王炜俊, 洪跃. 受电弓故障模式分析与维护策略[J]. 沿海企业与科技, 2015 (5): 27-30.

邵延峰, 薛红军. 故障树分析法在系统故障诊断中的应用[J]. 中国制造业信息化, 2007, 36(1): 72-74.

DAI C Q, ZHAO Z H. Fuzzy comprehensive evaluation model for construction risk analysis in urban subway[J]. International Journal of Modeling Simulation and Scientific Computing, 2015, 6(3): 1550024. DOI: 10.1142/S1793962315500245http://doi.org/10.1142/S1793962315500245.

DONGIOVANNI D N, IESMANTAS T. Failure rate modeling using fault tree analysis and Bayesian network: DEMO pulsed operation turbine study case[J]. Fusion Engineering and Design: Part A, 2016 (109/110/111): 613-617.

Views

下载量

CSCD

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal and Reliability Analysis of Rotary Angle for Pantograph Collector Head

EMUs Pantograph Aerodynamics Experimental Research in Dropping Status under Strong Wind Condition

Sensitivity analysis of strength parameters and calculation of fatigue life of pantograph

SOH Prediction of nickel-cadmium battery based on the charging time under constant voltage rise

Research on safety of EMUs under high-speed collision with large animals

Related Author

No data

Related Institution

The State Key Laboratory of Heavy Duty AC Drive Electric Locomotive Systems Integration

CRRC Zhuzhou Locomotive Co., Ltd.

Administration of Work Safety, China Railway Corporation

State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University

School of Mechanical Engineering, Southwest Jiaotong University

⁰