Commenced in January 2007
Paper Count: 31532
Approach for Demonstrating Reliability Targets for Rail Transport during Low Mileage Accumulation in the Field: Methodology and Case Study
Abstract:In railway industry, train sets are designed based on contractual requirements (mission profile), where reliability targets are measured in terms of mean distance between failures (MDBF). However, during the beginning of revenue services, trains do not achieve the designed mission profile distance (mileage) within the timeframe due to infrastructure constraints, scarcity of commuters or other operational challenges thereby not respecting the original design inputs. Since trains do not run sufficiently and do not achieve the designed mileage within the specified time, car builder has a risk of not achieving the contractual MDBF target. This paper proposes a constant failure rate based model to deal with the situations where mileage accumulation is not a part of the design mission profile. The model provides appropriate MDBF target to be demonstrated based on actual accumulated mileage. A case study of rolling stock running in the field is undertaken to analyze the failure data and MDBF target demonstration during low mileage accumulation. The results of case study prove that with the proposed method, reliability targets are achieved under low mileage accumulation.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1474351Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 808
 Sz. A. Köllő, A. Faur, G. Köllő, A. Puskás, “Environmental Impacts of Railway Transportation Systems,” Economics and Education, ISBN: 978-1-61804-369-6, pp. 27–31, 2015.
 A. K. Pandey, P. Goyal, A.M. Agarwal, “RAM Apportionment Model for Mass Rapid Transit Systems,” International Conference on Industrial Instrumentation and Control (ICIC), College of Engineering Pune, India May 28-30, pp. 6–11, 2015.
 R. Goel, G. Tiwari, “Promoting Low Carbon Transport in India, Case Study of Metro Rails in Indian Cities,” UNEP Risoe Centre on Energy, Climate and Sustainable Development, Magnum Custom Publishing, New Delhi (India), ISBN: 978-87-93130-14-2, 2014.
 S.M. Rezvanizaniani, J. Barabady, M. Valibeigloo, M. Asghari, U. Kumar, “Reliability Analysis of the Rolling Stock Industry: A Case Study, International Journal of Performability Engineering, Vol. 5(2), pp. 167-175, 2009.
 N. Jung, K. Lee, W. Kim, C. Chang, J Kim, “Analysis of Reliability and Availability Indicators in Railway Vehicle Ordering Specifications of the Operating Agencies of Various Countries,” International Journal of Innovative Science, Engineering & Technology, Vol. 4 (4), pp. 224–228, 2017.
 EN 50126, Railway Applications – The specification and demonstration of reliability, availability, maintainability, and safety (RAMS) 2017.
 IEC 61078, Reliability Block Diagrams, IEC Standard, ISBN 978-2-8322-3561-4, 2016.
 EN 50128, Railway Applications - Communications, Signaling and Processing Systems- Software for Railway Control and Protection Systems, 2011.
 TR 62380, Reliability data handbook – Universal model for reliability prediction of electronics components, PCBs and equipment, IEC Standard, 2004.
 P.D.F. Conradie, C.J. Fourie, P.J. Vlok, N.F. Treurnicht, “Quantifying System Reliability in Rail transportation in an Ageing Fleet Environment,” South African Journal of Industrial Engineering, Vol 26(2), pp. 128-142, 2015.
 S.I. Seo, C.S. Park, S.H. Choi, Y.J. Han, K.H. Kim, Reliability Management and Assessment for the Electric Traction System on the Korea High-Speed Train, Proc. IMechE, Part F: J. Rail and Rapid Transit, Vol. 224, pp. 179–297, 2014.
 D. Rama, J.D. Andrews, A reliability analysis of railway switches, Proc IMechE Part F: J Rail and Rapid Transit, 227(4) 344–363, 2013.
 A. Morant, P. Larsson-Kraik, U. Kumar, Data-driven model for maintenance decision support: A case study of railway signaling systems, Proc IMechE Part F: J Rail and Rapid Transit, DOI: 10.1177/0954409714533680, 2014.
 Andrew Gorski, "Chi-Squared Probabilities Are Poisson Probabilities in Disguise" IEEE Transactions on Reliability, Vol. R-34, No. 3, 1985.