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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 110
Edited by: J. Pombo
Paper 245

Temperature Condition Monitoring for Shinkansen Bogies

T. Oba, H. Shimizu, E. Morimoto and N. Kumagai

Technology Research and Development Department, General Technology Division, Central Japan Railway Company, Aichi, Japan

Full Bibliographic Reference for this paper
T. Oba, H. Shimizu, E. Morimoto, N. Kumagai, "Temperature Condition Monitoring for Shinkansen Bogies", in J. Pombo, (Editor), "Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 245, 2016. doi:10.4203/ccp.110.245
Keywords: railway, diagnostics, high-speed train, monitoring, fault detection, condition monitoring, temperature measurement.

Rolling stock has generally been inspected and maintained on the basis of preventive maintenance. However, the reliability of sensors and information technology has drastically improved and, with this background, the objective of the research described in this paper, is to develop a temperature condition monitoring system for the bogies of Shinkansen cars. The conventional temperature measurement system for railway vehicles can only monitor the temperature of the axle boxes and wheels. On the other hand, the developed temperature monitoring system should be able to monitor the temperature of other parts of high-speed Shinkansen bogies such as gear boxes and couplings which are equipped in the central part of the bogie. This paper mainly describes the overview of the newly developed temperature monitoring system for Shinkansen bogies for further improvement of reliability of high-speed trains and the efficiency of the inspection of railway vehicles. Also, the characteristics of the main components of this monitoring system are presented in this paper. It is confirmed that the novel thermometer developed for this system has a high response performance that is sufficient for high-speed railway measurement. Next, the prototype of the temperature monitoring system developed is installed on the real track of the Tokaido Shinkansen for a long term examination of the reliability of the device prior to practical use. Additionally, the algorithms for the field data analysis obtained from this monitoring system are developed based on the statistical representative values and multivariate analysis. Through the data analysis, it is verified that the scheme can be applied successfully for the reduction of normal data variations.

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