Design of Cyber-Physical Systems Architecture for Prognostics and Health Management of High-speed Railway Transportation Systems
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Abstract
The high-speed railway (HSR) transportation system in China has been growing rapidly during the past decade. In 2016, the total length of HSR in China has reached to 22,000 kilometers, and there are over 2,000 pairs of high speed trains operating daily. With the advancement of design and manufacturing technologies, the reliability and construction costs have been improved significantly. However, there is still great need for reduction of their operation and maintenance costs. With such incentive, a pilot project has been launched in CRRC to develop a prognostics and health management system for rolling stock to transform the maintenance paradigm from preventive to predictive maintenance. Considering the high task variety and big data environment in HSR real-time monitoring system, a cyber-physical system (CPS) architecture is proposed as the framework for its PHM system. This paper reviews the needs of predictive maintenance for the HSR system, and then present a concept design of the CPS-enabled smart operation and maintenance system.
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PHM
[2] B. Feigenbaum, “High-Speed Rail in Europe and Asia : Lessons for the United States,” 2013.
[3] J. Lee, H. D. Ardakani, S. Yang, and B. Bagheri, “Industrial big data analytics and cyberphysical systems for future maintenance & service innovation,” Procedia CIRP, vol. 38, pp. 3–7, 2015.
[4] J. Lee, H. Kao, and S. Yang, “Service innovation and smart analytics for Industry 4 . 0 and big data environment,” Procedia CIRP, vol. 16, pp. 3–8, 2014.
[5] A. T. S. Worth and B. Escartin-Claveria, "Alstom's approach to railway condition monitoring," 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, 2014, pp. 1-6. doi: 10.1049/cp.2014.0991.
[6] Lu X., Shan S., Tang G., Wen Z. (2016) Survey on the Railway Telematic System for Rolling Stocks. In: Qin Y., Jia L., Feng J., An M., Diao L. (eds) Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Lecture Notes in Electrical Engineering, vol 378. Springer, Berlin, Heidelberg
[7] E. Incorporated, “Foundations for Innovation in Cyber-Physical Systems,” 2013.
[8] H. Kao, W. Jin, D. Siegel, and J. Lee, “A Cyber Physical Interface for Automation Systems—Methodology and Examples,” Machines, vol. 3, pp. 93–106, 2015.