New Monitoring Technologies for Overhead Contact Line at 400 km·h−1

Chul Jin Cho, Young Park

Engineering ›› 2016, Vol. 2 ›› Issue (3) : 360-365.

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Engineering ›› 2016, Vol. 2 ›› Issue (3) : 360-365. DOI: 10.1016/J.ENG.2016.03.016
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New Monitoring Technologies for Overhead Contact Line at 400 km·h−1

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Abstract

Various technologies have recently been developed for high-speed railways, in order to boost commercial speeds from 300 km·h−1to 400 km·h−1. Among these technologies, this paper introduces the 400 km·h−1 class current collection performance evaluation methods that have been developed and demonstrated by Korea. Specifically, this paper reports details of the video-based monitoring techniques that have been adopted to inspect the stability of overhead contact line (OCL) components at 400 km·h−1 without direct contact with any components of the power supply system. Unlike conventional OCL monitoring systems, which detect contact wire positions using either laser sensors or line cameras, the developed system measures parameters in the active state by video data. According to experimental results that were obtained at a field-test site established at a commercial line, it is claimed that the proposed measurement system is capable of effectively measuring OCL parameters.

Keywords

High-speed railway / Overhead contact lines / Condition monitoring / Image processing based measurement

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Chul Jin Cho, Young Park. New Monitoring Technologies for Overhead Contact Line at 400  km·h−1. Engineering, 2016, 2(3): 360‒365 https://doi.org/10.1016/J.ENG.2016.03.016

References

[1]
Kwon SY, Park CM, Park Y, Lee K, Cho YH, Eum KT<?Pub Caret?>, . Comparative review of the current collection quality parameters between catenary and pantograph by measuring the contact force and arcs simultaneously during new Korean high speed train trial runs. In: Proceedings of the 10th World Congress on Railway Research; <Date>2013 Nov 25–28</Date>; Sydney, Australia; 2013.
[2]
Cho YH, Kwon YJ, Lee K, Park Y, Park CM, Ryoo H. Innovative high-speed overhead contact line by adopting an ultra-high strength contact wire. In: Proceedings of the 11th World Congress on Railway Research; <Date>2016 May 29–Jun 22</Date>; Milan, Italy; 2016.
[3]
Borromeo S, Aparicio JL. Automatic system for wear measurement of contact wire in railways. In: Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society, Volume 4/4; 2002 Nov 5–8; Sevilla, Spain. Piscataway: IEEE; 2002. p. 2700–5.
CrossRef Google scholar
[4]
Park Y, Lee K, Park SY, Park JY, Choi WS. Implement of multi-functional type condition monitoring system for railway catenary system. Trans Korean Inst Electr Eng 2015;64(9):1406–10. Korean.
CrossRef Google scholar
[5]
Koyama T, Ikeda M, Nakamura K, Tabayashi S, Niwakawa M. Measuring the contact force of a pantograph by image processing technology. In: Brebbia CA, Tomii N, Mera JM, Ning B, Tzieropoulos P, editors Proceedings of the Thirteenth International Conference on Design and Operation in Railway Engineering; <Date>2012 Sep 11–13</Date>; New Forest, UK. Billerica: WIT Press; 2012. p. 189–98.
CrossRef Google scholar
[6]
Cho YH, Ryoo HB, Kang SH, Jung HS, Cho HR, Lee KS, . Final project report on the development of overhead contact line system for speed enhancement. Gyeonggi-do: Korea Railroad Research Institute; 2015. Korean.
[7]
Cho CJ, Cho YH, Kwon SY, Lee K, Jang S, Ryoo H. Development of an image processing based method for dynamic stagger extraction of pantograph-overhead contact line system. J Korean Soc Rail 2011;(5):1336–41. Korean.
[8]
Cho CJ, Ko H. Video-based dynamic stagger measurement of railway overhead power lines using rotation-invariant feature matching. IEEE Trans Intell Transport Syst 2015;16(3):1294–1304.
CrossRef Google scholar
[9]
Cho CJ, Park Y, Ku B, Ko H. An implementation of environment recognition for enhancement of advanced video based railway inspection car detection modules. Sci Adv Mater. In press.

Acknowledgements

This research was supported by a grant from the R&D Program of the Korea Railroad Research Institute, Republic of Korea.
Chul Jin Cho and Young Park declare that they have no conflict of interest or financial conflicts to disclose.
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