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Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit
Yao, Cheng1; Zhao, Qinglei2; Ma, Zelong2; Zhou, Wei2; Yao, Tong3
作者部门光电跟踪与测量技术研究室
2020
发表期刊IEEE Access
ISSN21693536
卷号8页码:35973-35978
产权排序3
摘要

Many urban rail transit (URT) systems adopt the DC traction power supply system. Because of the impedance and incomplete ground insulation of the running track, it is inevitable for a part of the traction current to flow into the ground from the track, creating the stray current. This type of current causes great safety hazards to the metal structures in and near the URT system. Considering the power supply mode of the URT, this paper explores the different resistances in each power supply section under unilateral power supply and bilateral power supply. Then, the defects of the current discharge method were identified in the context of stray current protection. To solve these defects, the backpropagation neural network (BPNN) was adopted to build a discharge flow prediction model. On this basis, an intelligent current monitoring system was established for the URT. Finally, the authors simulated the impact of each factor on stray current, and verified the reliability and stability of the proposed monitoring system. Compared with predicted values and the actual values, the prediction agrees with the actual data very well. © 2013 IEEE.

关键词Urban rail transit (URT) backpropagation neural network (BPNN) stray current current monitoring system
DOI10.1109/ACCESS.2020.2975009
收录类别SCI ; EI
语种英语
WOS记录号WOS:000528911500001
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20201008273531
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/93308
专题光电跟踪与测量技术研究室
通讯作者Zhao, Qinglei
作者单位1.University of Chinese Academy of Science, Beijing; 100039, China;
2.Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun; 130033, China;
3.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China
推荐引用方式
GB/T 7714
Yao, Cheng,Zhao, Qinglei,Ma, Zelong,et al. Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit[J]. IEEE Access,2020,8:35973-35978.
APA Yao, Cheng,Zhao, Qinglei,Ma, Zelong,Zhou, Wei,&Yao, Tong.(2020).Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit.IEEE Access,8,35973-35978.
MLA Yao, Cheng,et al."Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit".IEEE Access 8(2020):35973-35978.
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