INFORMATION CHANGE THE WORLD

International Journal of Mathematical Sciences and Computing(IJMSC)

ISSN: 2310-9025 (Print), ISSN: 2310-9033 (Online)

Published By: MECS Press

IJMSC Vol.6, No.5, Oct. 2020

Reliability Evaluation of High Speed Train Bogie System Based on Stochastic Network Flow Model

Full Text (PDF, 368KB), PP.29-36


Views:0   Downloads:0

Author(s)

Vartika Sharma, Rajesh Mishra

Index Terms

High Speed Train, Bogie, Reliability Evaluation, Minimal Cut sets, Stochastic Flow Networks.

Abstract

Bogie is an emblematic complex mechanical as well as electronic part of the current high speed rail system. A small failure of components may lead to a loss of production, casualties and damage of the system. Therefore, security and reliability analysis of bogie system is a predominant task. This paper proposes a stochastic network flow model of bogie system based on the forces applied on the components of the bogie, simultaneously considering the deterioration level and functional correlation of components. At first, a detailed description of structure and functions of the CRH3 bogie is introduced. Then a stochastic network flow model is constructed by analysing the direction of various forces applied on bogie. In the proposed model, edges represent the bogie components and vertices are the transmission channels. The flow over each edge is analysed by the forces it withstands. Finally, a combination method using minimal cut sets is proposed to evaluate the reliability of high speed train bogie system. This paper provides a supportive guidance and practical approach to bogie system designers for efficient operation and maintenance of the bogie.

Cite This Paper

Vartika Sharma, Rajesh Mishra. " Reliability Evaluation of High Speed Train Bogie System Based on Stochastic Network Flow Model ", International Journal of Mathematical Sciences and Computing (IJMSC), Vol.6, No.5, pp.29-36, 2020. DOI: 10.5815/IJMSC.2020.05.03

Reference

[1]W.-C. Hsu and Y.-T. Chiu, “An application of reliability analysis on the signaling system of the kaohsiung metro,” in 2012 International Symposium on Computer, Consumer and Control. IEEE, 2012, pp. 564–567.

[2]L. R. Doyon, “Markov chains in reliability analysis by computer.” 1976.

[3]C. Lijie, T. Tao, Z. Xianqiong, and E. Schnieder, “Verification of the safety communication protocol in train control system using colored petri net,” Reliability engineering & system safety, vol. 100, pp. 8 –18, 2012.

[4]S. Chen, T. Ho, and B. Mao, “Reliability evaluations of railway power supplies by fault-tree analysis,” IET Electric Power Applications, vol. 1 , no. 2, pp. 161–172, 2007.

[5]S. Seo, C. S. Park, S. Choi, Y. Han, and K. Kim, “Reliability management and assessment for the electric traction system on the korea highspeed train,” Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, vol. 224, no. 3, pp. 179–188, 2010.

[6]X.-Y. Li, Y. Liu, C.-J. Chen, and T. Jiang, “A copula-based reliability modeling for nonrepairable multi-state k-out-of-n systems with dependent components,” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, vol. 230, no. 2, pp. 133–146, 2016.

[7]L. Li, L. Jia, Y. Wang, and J. Li, “Reliability evaluation for complex system based on connectivity reliability of network model,” in 2015 International Conference on Logistics, Informatics and Service Sciences (LISS). IEEE, 2015, pp. 1–5.

[8]S. Lin, L. Jia, Y. Wang, Y. Qin, and M. Li, “Reliability study of bogie system of high-speed train based on complex networks theory,” in Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Springer, 2016, pp. 117–124.

[9]M. O. Ball, T. Magnanti, C. L. Monma, and G. L. Nemhauser, Handbooks in Operations Research and Management Science: Network Models. North-Holland, 1995.

[10]C.-C. Jane and Y.-W. Laih, “Computing multi-state two-terminal reliability through critical arc states that interrupt demand,” IEEE Transactions on Reliability, vol. 59, no. 2, pp. 338–345, 2010.

[11]Y. Niu, Z. Gao, and H. Sun, “An improved algorithm for solving all d-mps in multi-state networks,” Journal of Systems Science and Systems Engineering, vol. 26, no. 6, pp. 711–731, 2017.

[12]Z. Hao, W.-C. Yeh, and C.-F. Hu, “A novel multistate minimal cut vectors problem and its algorithm,” IEEE Transactions on Reliability, vol. 68, no. 1, pp. 291–301, 2018.

[13]M. Forghani-elahabad, N. Kagan, and N. Mahdavi-Amiri, “An mpbased approximation algorithm on reliability evaluation of multistate flow networks,” Reliability Engineering & System Safety, vol. 191, p. 106566, 2019.

[14]W.-C. Yeh, “Fast algorithm for searching d-mps for all possible d,” IEEE Transactions on Reliability, vol. 67, no. 1, pp. 308–315, 2018.

[15]M. Forghani-elahabad and L. H. Bonani, “Finding all the lower boundary points in a multistate two-terminal network,” IEEE Transactions on Reliability, vol. 66, no. 3, pp. 677–688, 2017.

[16]M. Forghani-elahabad and N. Kagan, “Reliability evaluation of a stochastic-flow network in terms of minimal paths with budget constraint,” IISE Transactions, vol. 51, no. 5, pp. 547–558, 2019.

[17]Y.-F. Niu, Z.-Y. Gao, and W. H. Lam, “Evaluating the reliability of a stochastic distribution network in terms of minimal cuts,” Transportation Research Part E: Logistics and Transportation Review, vol. 100, pp. 75 – 97, 2017.

[18]M. Forghanielahabad and N. Mahdavi-Amiri, “A new efficient approach to search for all multi-state minimal cuts,” IEEE Transactions on Reliability, vol. 63, no. 1, pp. 154–166, 2014.

[19]L. Ling, X.-b. Xiao, J.-y. Xiong, L. Zhou, Z.-f. Wen, and X.-s. Jin, “A 3 d model for coupling dynamics analysis of high-speed train/track system,” Journal of Zhejiang University Science A, vol. 15, no. 12, pp. 964–983 , 2014.

[20]I. Okamoto, “How bogies work,” Japan Railway & Transport Review, vol. 18, pp. 52–61, 1998.

[21]Y.-K. Lin and C.-T. Yeh, “Maximal network reliability for a stochastic power transmission network,” Reliability Engineering & System Safety, vol. 96, no. 10, pp. 1332–1339, 2011.

[22]A.-L. Barabasi,ˆ H. Jeong, Z. Neda,´ E. Ravasz, A. Schubert, and T. Vicsek, “Evolution of the social network of scientific collaborations,” Physica A: Statistical mechanics and its applications, vol. 311, no. 3-4 , pp. 590–614, 2002.

[23]S. Rai and S. Soh, “A computer approach for reliability evaluation of telecommunication networks with heterogeneous link-capacities,” IEEE Transactions on reliability, vol. 40, no. 4, pp. 441–451, 1991.

[24]X. Dong, “How high-speed emus works and their structure characters,” 2007.

[25]L. Kou, Y. Qin, L. Jia, and Y. Fu, “Multistate reliability evaluation of bogie on high speed railway vehicle based on the network flow theory,” International Journal of Software Engineering and Knowledge Engineering, vol. 28, no. 04, pp. 431–451, 2018.

[26]D. Fulkerson and L. Ford, Flows in networks. Princeton University Press, 1962. 

[27]R. Mishra and S. K. Chaturvedi, “A cutsets-based unified framework to evaluate network reliability measures,” IEEE Transactions on reliability, vol. 58, no. 4, pp. 658–666, 2009.