Fault and Countermeasures of Obstacle Detection in Guangzhou Metro Vehicles Door Closing

Zhuoqun CHEN

doi:10.13890/j.issn.1000-128x.2020.01.032

您当前的位置：

首页 >

文章列表页 >

Fault and Countermeasures of Obstacle Detection in Guangzhou Metro Vehicles Door Closing

Operation & Maintenance | 更新时间：2021-12-10

- Fault and Countermeasures of Obstacle Detection in Guangzhou Metro Vehicles Door Closing
- Electric Drive for Locomotives Issue 1, Pages: 154-157(2020)
- 作者机构：
  
  1.广州地铁集团有限公司　运营事业总部，广东　广州　511495
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2020.01.032
  CLC：
扫描看全文
Zhuoqun CHEN. Fault and Countermeasures of Obstacle Detection in Guangzhou Metro Vehicles Door Closing. [J]. Electric Drive for Locomotives (1):154-157(2020)
DOI：

Zhuoqun CHEN. Fault and Countermeasures of Obstacle Detection in Guangzhou Metro Vehicles Door Closing. [J]. Electric Drive for Locomotives (1):154-157(2020) DOI： 10.13890/j.issn.1000-128x.2020.01.032.

摘要

针对广州地铁7号线车辆正线运营期间车门关门障碍物检测异常启动的故障，介绍车门关门防夹检测原理，深入分析故障原因并实施了相应的整改措施，有效地降低了车门故障率。

Abstract

Aiming at the malfunction of abnormal start of door closing obstacle detection during the main line operation of Guangzhou metro line 7 vehicle, the principle of door closing anti-pinch detection was introduced, the causes of the malfunction were deeply analyzed, and corresponding corrective measures were implemented, which effectively reduced the door failure rate.

关键词

地铁车辆客室车门障碍物检测故障诊断

Keywords

metro vehicledoorobstacle detectionfault diagnosis

references

龙静, 高文明, 缪小冬, 等. 城市轨道车辆车门技术综述[J]. 现代城市轨道交通, 2017 (5): 1-6.

中车株洲电力机车有限公司. 广州地铁七号线车辆客室车门维修手册[Z]. 株洲: 中车株洲电力机车有限公司, 2017.

王伯铭, 陈婧, 李智泽, 等. 地铁车辆客室塞拉门动力学性能仿真分析[J]. 城市轨道交通研究, 2015, 18(4): 14-18.

肖艳军, 任钦贵, 霍江涛, 等. 一种导轨丝杆机构传动可靠性及稳定性分析研究[J]. 机械传动, 2013, 37(6): 106-109.

European Committee for Standardization. Railways applications-Body side entrance system for rolling stock: EN 14752: 2005[S]. Brussels: Official Journal of the European Union, 2005.

Views

下载量

CSCD

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Typical Faults Analysis and Troubleshooting of a MetroTrain MVB Communication Network Control System

Condition Monitoring and Diagnosis of Metro Vehicle Flat Wheel Based on VMD

Arcing detection method of metro pantograph based on improved yolov4-tiny

Bearing fault diagnosis algorithm based on maximum correlated kurtosis feature mode decomposition and compound Gini index

Study on abnormal abrasion of metro pantograph

Related Author

No data

Related Institution

Product R & D Center, CRRC Tangshan Co., Ltd.

Guangzhou Metro Group Co., Ltd.

School of Electromechanical Engineering, Guangdong University of Technology

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

School of Mechanical Engineering, Southwest Jiaotong University

⁰