Pantograph Arc Detection of Urban Rail Based on Photoelectric Conversion Mechanism

被引:16
作者
Yu, Xiaoying [1 ,2 ]
Su, Hongsheng [1 ]
机构
[1] Lanzhou Jiaotong Univ, Coll Automat & Elect Engn, Lanzhou 730070, Peoples R China
[2] Lanzhou Jiaotong Univ, Key Lab Optotechnol & Intelligent Control, Minist Educ, Lanzhou 730070, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban rail; pantograph arc; photoelectric conversion; arcing detection; FRICTION;
D O I
10.1109/ACCESS.2020.2966493
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
According to the solar-blind characteristic of the pantograph arc spectrum distribution, an arc detection method based on the photoelectric conversion mechanism for urban rail was proposed, and the design of each part of the arcing detection system was completed. Through the analysis of arc spectral distribution, the 275285 nm band was determined as the detection characteristic waveband. The optical acquisition system located on the roof of the train collects the arc characteristic light and transmits it to the photoelectric conversion module, which converts the received optical signal into the corresponding current signal linearly. After amplification, comparison and screening in this module, the optical signal is sent to the data processing module for output display. Finally, a field test conducted on an urban rail transit line shows that this arc detection system can effectively detect the pantograph arc phenomenon and reflect the arc intensity linearly avoiding the influence from natural light, train load and train running direction.
引用
收藏
页码:14489 / 14499
页数:11
相关论文
共 26 条
[11]   Dynamics of Pantograph-Catenary Arc During the Pantograph Lowering Process [J].
Gao, Guoqiang ;
Hao, Jing ;
Wei, Wenfu ;
Hu, Haixing ;
Zhu, Guangya ;
Wu, Guangning .
IEEE TRANSACTIONS ON PLASMA SCIENCE, 2016, 44 (11) :2715-2723
[12]  
[胡怡 Hu Yi], 2016, [电工技术学报, Transactions of China Electrotechnical Society], V31, P62
[13]   Arc detection and recognition in pantograph-catenary system based on convolutional neural network [J].
Huang, Shize ;
Zhai, Yachan ;
Zhang, Miaomiao ;
Hou, Xiaoxue .
INFORMATION SCIENCES, 2019, 501 :363-376
[14]   Series Arc Detection and Complex Load Recognition Based on Principal Component Analysis and Support Vector Machine [J].
Jiang, Jun ;
Wen, Zhe ;
Zhao, Mingxin ;
Bie, Yifan ;
Li, Chen ;
Tan, Mingang ;
Zhang, Chaohai .
IEEE ACCESS, 2019, 7 :47221-47229
[15]  
[李鑫 Li Xin], 2018, [铁道学报, Journal of the China Railway Society], V40, P97
[16]  
[刘文正 Liu Wenzheng], 2016, [高电压技术, High Voltage Engineering], V42, P3524
[17]   Extended Black-Box Model of Pantograph-Catenary Detachment Arc Considering Pantograph-Catenary Dynamics in Electrified Railway [J].
Liu, Zhigang ;
Zhou, Hongyi ;
Huang, Ke ;
Song, Yang ;
Zheng, Zongsheng ;
Cheng, Ye .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (01) :776-785
[18]   Carrier density and light helicity dependence of photocurrent in mono- and bilayer graphene [J].
Qian, X. ;
Cao, B. ;
Wang, Z. ;
Shen, X. ;
Soci, C. ;
Eginligil, M. ;
Yu, T. .
SEMICONDUCTOR SCIENCE AND TECHNOLOGY, 2018, 33 (11)
[19]   Efficient simulation of railway pantograph/catenary interaction using pantograph-fixed coordinates [J].
Ritzberger, Daniel ;
Talic, Emir ;
Schirrer, Alexander .
IFAC PAPERSONLINE, 2015, 48 (01) :61-66
[20]   Relationship between first integral value of signals of the optical method and charge quantity of partial discharge from needle-plate electrode [J].
Tang, Ju ;
Liu, Yong-Gang ;
Qiu, Yin-Jun ;
Yuan, Jing-Fan .
Gaodianya Jishu/High Voltage Engineering, 2012, 38 (01) :1-8