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http://dx.doi.org/10.5762/KAIS.2017.18.1.609

A Study on Efficient Rolling Stock HBD Monitoring Method Using EWMA Technique  

Choi, Seog-Jung (Dept. of Next-Generation KOVIS Promoting, Korea Railroad Corp.)
Kim, Moon-Hong (Dept. of Railroad Management, Woosong University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.1, 2017 , pp. 609-617 More about this Journal
Abstract
Railways are one of the safest and most important transportation systems in the world. On the other hand, due to the increasing complexity of the railway system and the running distance of rail vehicles, railway accidents occur continuously every year. In particular, in the case of high-speed trains and freight trains, if the function of the axle bearing is lost due to abnormal overheating of the axle box bearing, the load on the axle becomes uneven. Therefore, abnormal overheating in the train axle box bearings can cause serious accidents or derailments. For this purpose, a Hot Box Detector (HBD) was installed in the track side of a high speed line to detect abnormal overheating. This paper proposes an EWMA technique-based axle temperature monitoring method to detect abnormal overheating quickly and efficiently. A statistical design of the proposed method was also performed. The proposed method has better performance compared to the current method in the case of abnormal overheating and the performance is improved by approximately 170% at the maximum.
Keywords
Axle Heating; EWMA; HBD; Rolling Stock; Transportation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 J. S. Choi, "Introduction of Hot Box Detector(HBD) technology trend of European railway network", Journal of Korean Society for Railway, pp. 21-26, 2012.
2 G. H.. Choi, Y. H. Kim, S. M. Baik, G. S. Bing, "Study on the Utilization of HBD in the Conventional Speed-up Lines", Proc. of 2nd Conference on Korea Safety Management & Science, pp. 233-243, April, 2012.
3 X. Liu, M. R. Saat, C. Barkan, "Analysis of Causes of Major Train Derailment and Their Effect on Accident Rates", Journal of the Transportation Research Board, pp.154-163, 2012. DOI: https://doi.org/10.3141/2289-20
4 D.C. Montgomery, Introduction to Statistical Quality Control 5th Edition. pp. 300-416, John Wiley & Sons. Inc., 2005.
5 S. W. Roberts, "Control Chart Tests Based on Geometric Moving Average", Technometrics, pp. 239-250, 1959. DOI: https://doi.org/10.1080/00401706.1959.10489860
6 E. P. Hong, C. W. Kang, H. W. Kang, "Development of CV Control Chart Using EWMA Technique", Journal of Society of Korea Industrial and Systems Engineering, pp. 114-120, 2008.
7 Lu. C. W, M. R. Reynolds, "EWMA control charts for monitoring the mean of autocorrelated processes", Journal of Quality Technology, pp. 166-188, 1999.
8 J. M. Lucas, M. S. Saccucci, "Exponentially Weighted Moving Average Control Schemes:Properties and Enhancements", Technometrics, pp. 1-12, 1990. DOI: https://doi.org/10.1080/00401706.1990.10484583
9 E. Eisenbrand, "Hot box detection in European railay networks", RTR Special 2011, pp. 1-11, 2011.
10 Minister of Land, Infrastructure and Transport, 2015 Statistical Year Book of MOLIT. pp. 722-736, Huimun Printing Corp., 2015.