WANG Juhan, GAO Ying, CAO Yuan, TANG Tao, ZHOU Mingjun. The FMEDA Based DC Calculation for Railway Safety Computer[J]. Chinese Journal of Electronics, 2020, 29(2): 391-396. doi: 10.1049/cje.2020.02.004
 Citation: WANG Juhan, GAO Ying, CAO Yuan, TANG Tao, ZHOU Mingjun. The FMEDA Based DC Calculation for Railway Safety Computer[J]. Chinese Journal of Electronics, 2020, 29(2): 391-396.

# The FMEDA Based DC Calculation for Railway Safety Computer

##### doi: 10.1049/cje.2020.02.004
Funds:  This work is supported by the High-speed Rail Joint Fund (No.U1734211, No.U1534208).
• Corresponding author: CAO Yuan (corresponding author) received the B.S degree in electric engineering and automation from Dalian Jiaotong University and Ph.D. degree in traffic information engineering and control from Beijing Jiaotong University in 2004 and 2011 respectively. And now he is an associate professor of Beijing Jiaotong University. Since 2006, he has participated in many engineering practice, especially in the signal and communication system of high-speed railway. He has taken part in several key national research projects in the field of high-speed train communications. His research interest focuses on the possibility and suitability of new wireless communications in high-speed train systems. (Email:ycao@bjtu.edu.cn)
• Rev Recd Date: 2018-12-05
• Publish Date: 2020-03-10
• This paper presents a new algorithm to compute the Diagnostic coverage (DC) for railway safety computer using the Failure modes effects and diagnostic analysis (FMEDA) theory. The importance to work out the DC accurately is stressed. A certain type of railway safety computer's output element is taken as an example to show how the DC is worked out using the FMEDA method. The probability of dangerous failures per hour (PFH) of one certain safety computer is obtained considering the DC. The final results show that the DC is 99.6% and the PFH of the safety is 1.165 fit, which means 1.165 dangerous failures may occur during 1 billion hours' working time, running up to the requirement of the Safety integrity level 4 (SIL4). This paper provides an example to come up with the DC for safety computer, thus making the PFH calculation more accurate and so is the Safety integrity level.
•  R. Vilbrandt, H. Bosch, G. Kühner, D. Naujoks, J. Schacht, A. Werner, S. Degenkolbe, W7-X Team, “Application of the engineering standard for functional safety to the W7-X central safety system”, Fusion Engineering and Design, Vol.123, pp.632-636, 2017. D. Heffernan and C. MacNamee, “Runtime observation of functional safety properties in an automotive control network”, Journal of Systems Architecture, Vol.68, pp.38-50, 2016. F. D. Rosa, R. Cesoni, S. Genta, et al., “Failure rate evaluation method for HW architecture derived from functional safety standards (ISO 19014, ISO 25119, IEC 61508)”, Reliability Engineering and System Safety, Vol.165, pp.124-133, 2017. Ï. üstoglu, ö. T. Kaymakc and J. Börcsök, “The relationship between DC and proof test interval for 1oo2 and 1oo2D architectures”, IFAC Proceedings Volumes, Vol.45, No.24, pp.181-184, 2012. X. Q. Zhao, O. Malasse and G. Buchheit, “Verification of safety integrity level of high demand system based on stochastic Petri nets and Monte Carlo simulation”, Reliability Engineering and System Safety, Vol.184, pp.258-265, 2019. H. Hu, “Design and implementation of improved railway signaling safety computer hardware structure”, M.E. Thesis, Beijing JiaoTong University, Beijing, China, 2014. J. Xiao, “Design of the GNSS-based train positioning unit and reliability and safety index analysis”, M.E. Thesis, Beijing JiaoTong University, Beijing, China, 2014. Y. Cao, P. Li and Y. Z. Zhang, “Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing”, Future Generation Computer Systems, Vol.88, pp.594-598, 2018. P. Wang, “Functional safety analysis of furnace safeguard supervisory system”, Ph.D. Thesis, North China Electric Power University, Baoding, China, 2014. J. H. Jin, “Assessment method for failure of a safety function for safety instrumented system”, Ph.D. Thesis, China University of Mining and Technology, Beijing, China, 2014. M. Catelani, L. Ciani and V. Luongo, “The FMEDA approach to improve the safety assessment according to the IEC61508”, Microelectronics Reliability, Vol.26, No.6, pp.1212-1220, 2013. S. K. Kim and Y. S. Kim, “An evaluation approach using a HARA and FMEDA for the hardware SIL”, Journal of Loss Prevention in the Process Industries, Vol.50, No.6, pp.1230-1235, 2010. W. M. Goble and A. C. Brombacher, “Using a failure modes, effects and diagnostic analysis (FMEDA) to measure diagnostic coverage in programmable electronic systems”, Journal of Loss Prevention in the Process Industries, Vol.50, No.2, pp.1230-1235, 2010. X. H. Yuan, “Research and implementation on function safety of hardware platform of numerical control device”, M.E. Thesis, University of Chinese Academy of Sciences, Shenyang, China, 2015. Y. Cao, L. C. Ma and Y. Z. Zhang, “Application of fuzzy predictive control technology in automatic train operation”, https://doi.org/10.1007/s10586-018-2258-0, 2018-1-1. W. Jia, “Reliability study of pneumatic diaphragm control valve based on failure mode effect and diagnostic analysis“, M.E. Thesis, Zhejiang University of Technology, Zhejiang, China, 2010. Y. Z. Zhang, Y. Cao, Y. H. Wen, et al., “ Optimization of information interaction protocols in cooperative vehicleinfrastructure systems“, Chinese Journal of Electronics, Vol.27, No.2, pp.439-444, 2018. Y. Cao, W. G. Ma and L. C. Ma, “Local fractional functional method for solving diffusion equations on cantor sets”, http://dx.doi.org/10.1155/2014/803693, 2014-8-5. IEC 61508:2010, Functional safety of electrical/ electronic/ programmable electronic safety-related systems-Definitions and abbreviations-4. P. Li, R. Li, Y. Cao, et al., “Multi-objective sizing optimization for island microgrids using triangular aggregation model and levy-harmony algorithm”, IEEE Transactions on Industrial Informatics, Vol.14, No.8, pp.3495-3505, 2017. Y. Cao, Y. Z. Zhang, T. Wen, et al., “Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system”, IEEE Transactions on Industrial Informatics, https://doi.org/10.1063/1.5085397, 2019-1-23. Y. Cao, L. C. Ma, S. Xiao, et al., “Standard analysis for transfer delay in CTCS-3” Chinese Journal of Electronics, Vol.26, No.5, pp.173-179, 2017. P. Li, R. X. Li, Y. Cao, et al., “Storage aided system property enhancing and hybrid robust smoothing for large-scale PV systems” IEEE Transactions on Smart Grid, Vol.6, No.8, pp.2871-2879, 2018. Y. Cao, Y. H. Wen, W. Xu, et al., “Performance evaluation with improved receiver design for asynchronous coordinated multipoint transmissions”, Chinese Journal of Electronics, Vol.25, No.8, pp.372-378, 2016. Y. Cao and L. C. Ma, “Mobile target tracking based on hybrid open-loop monocular vision motion control strategy”, http://dx.doi.org/10.1155/2015/690576, 2015-3-2.

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