RELIABILITY IMPROVEMENT OF RAILWAY VEHICLES: A REVIEW

Oky Arfiansyah, Yunendar Aryo Handoko

Abstract


Railway vehicles are mobile parts of the operating basis on railways that are used for the movement on the track. Reliability is an important factor in the operation of railway vehicles as they play an important role in ensuring the safety and efficiency of railway operations. The complexity of subsystem structures can affect vehicle reliability, and failure or damage to components can lead to operational disruption or system failure. Reliability improvement techniques focus on minimizing failures, reducing unplanned downtime, and ensuring efficient and safe operation of railway vehicles. These techniques include maintenance strategies, design optimization, spare parts management, training, skilled management, and reliability analysis. This paper aims to discuss these reliability improvement techniques globally and specifically examine the performance of railway vehicles in Indonesia. Prioritizing reliability improvement is applied to minimize unexpected breakdowns and failures, thereby improving passenger experience, punctuality, and safety. By reducing disruptions, reliability improvements contribute to smooth train travel, minimizing delays, and creating a safer environment. In addition, improved reliability in railway transportation systems increases efficiency, benefiting passenger satisfaction, economic growth and development. Safe, reliable, and efficient transportation facilitates the movement of goods and people, encourages trade and enhances regional connectivity, ultimately supporting sustainable economic development.

Keywords


reliability improvement, reliability analysis, maintenance strategy, design optimization, railway vehicle.

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References


G. A. Giannopoulos, “The application of information and communication technologies in transport,”

Eur. J. Oper. Res., vol. 152, no. 2, pp. 302–320, 2004, doi: 10.1016/S0377-2217(03)00026-2.

M. Vojtek, M. Kendra, and S. Stoilova, “Optimization of railway vehicles circulation in passenger

transport,” Transp. Res. Procedia, vol. 40, pp. 586–593, 2019, doi: 10.1016/j.trpro.2019.07.084.

M. Leite, M. A. Costa, T. Alves, V. Infante, and A. R. Andrade, “Reliability and availability

assessment of railway locomotive bogies under correlated failures,” Eng. Fail. Anal., vol. 135, no.

January, 2022, doi: 10.1016/j.engfailanal.2022.106104.

F. Appoh, A. Yunusa-Kaltungo, J. K. Sinha, and M. Kidd, “Practical Demonstration of a Hybrid

Model for Optimising the Reliability, Risk, and Maintenance of Rolling Stock Subsystem,” Urban

Rail Transit, vol. 7, no. 2, pp. 139–157, 2021, doi: 10.1007/s40864-021-00148-5.

P. Umiliacchi, D. Lane, and F. Romano, “Predictive maintenance of railway subsystems using an

Ontology based modelling approach,” Proc. 9th world Conf. Railw. Res., pp. 22–26, 2011.

R. F. Stapelberg, Handbook of Reliability, Availability, Maintainability and Safety in Engineering

Design, 1st ed. London: Springer London, 2009. doi: https://doi.org/10.1007/978-1-84800-175-6.

M. Szkoda and G. Kaczor, “Application of FMEA Analysis to Assess the Safety of Rail Vehicles,”

rd Int. Symp., no. June, pp. 1–9, 2015.

A. I. Bazanov, A. V., Sapozhenkov, N. O., Alykov, R. B., & Kozhederov, “Optimization of the

Rolling Stock Service Life at Transport Enterprises,” Archit. Constr. Transp., 2021, doi:

https://doi.org/10.31660/2782-232X-2021-3-68-79.

H. C. Liu, L. Liu, and N. Liu, “Risk evaluation approaches in failure mode and effects analysis: A

literature review,” Expert Syst. Appl., vol. 40, no. 2, pp. 828–838, 2013, doi:

1016/j.eswa.2012.08.010.

M. Mayisela and D. G. Dorrell, “Application of Reliability-Centred Maintenance for DC Traction

Motors - A Review,” in Proceedings - 2019 Southern African Universities Power Engineering

Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa,

SAUPEC/RobMech/PRASA 2019, May 2019, pp. 450–455. doi: 10.1109/RoboMech.2019.8704755.

S. M. Rezvanizaniani, J. Barabady, M. Valibeigloo, M. Asghari, and U. Kumar, “Reliability analysis

of the rolling stock industry: A case study,” Int. J. Performability Eng., vol. 5, no. 2, pp. 167–175,

I. Ansori, Warjito, Lukman Shalahuddin, and Sahid Bismantoko, “Reliability Analysis on the Bogie

System at Indonesian High-Speed Trains in the Design Phase to Improve Service Quality,” Maj. Ilm.

Pengkaj. Ind., vol. 15, no. 3, 2021, doi: 10.29122/mipi.v15i3.5010.

X. Cheng, Z. Xing, Y. Qin, Y. Zhang, S. Pang, and Jun Xia, “Reliability Analysis of Metro Door

System Based on FMECA,” J. Intell. Learn. Syst. Appl., vol. 53, no. 5, pp. 216–220, 2013, doi:

http://dx.doi.org/10.4236/jilsa.2013.54024.

J. Kim and H. Y. Jeong, “Evaluation of the adequacy of maintenance tasks using the failure

consequences of railroad vehicles,” Reliab. Eng. Syst. Saf., vol. 117, pp. 30–39, 2013, doi:

1016/j.ress.2013.03.008.

M. Ten Wolde and A. A. Ghobbar, “Optimizing inspection intervals - Reliability and availability in

terms of a cost model: A case study on railway carriers,” Reliab. Eng. Syst. Saf., vol. 114, no. 1, pp.

–147, 2013, doi: 10.1016/j.ress.2012.12.013.

L. Ciani, G. Guidi, G. Patrizi, and D. Galar, “Condition-based maintenance of hvac on a high-speed

train for fault detection,” Electron., vol. 10, no. 12, 2021, doi: 10.3390/electronics10121418.

Y. N. Xu, Q. Qiao, R. F. Wu, and Z. P. Zhou, “Advanced maintenance cycle optimization of urban

rail transit vehicles,” Adv. Mech. Eng., vol. 11, no. 2, pp. 1–7, 2019, doi:

1177/1687814019827113.

Q. Gong, L. Yang, Y. Li, and B. Xue, “Dynamic Preventive Maintenance Optimization of Subway

Vehicle Traction System Considering Stages,” Appl. Sci., vol. 12, no. 17, 2022, doi:

3390/app12178617.

Y. H. Cheng and H. L. Tsao, “Rolling stock maintenance strategy selection, spares parts’ estimation,

and replacements’ interval calculation,” Int. J. Prod. Econ., vol. 128, no. 1, pp. 404–412, 2010, doi:

1016/j.ijpe.2010.07.038.

P. D. . Conradie, C. J. Fourie, P. J. Vlok, and N. F. Treurnicht, “Quantifying System Reliability in

Rail Transportation in an Ageing Fleet Environment,” South African J. Ind. Eng., vol. 26(2), pp.

–142, 2015, doi: http://dx.doi.org/10.7166/26-2-1076.

M. Szkoda, G. Kaczor, R. Pilch, M. Smolnik, and Z. Konieczek, “Assessment of the influence of

preventive maintenance on the reliability and availability indexes of diesel locomotives,” Transp.

IPTEK Jurnal Nasional AMORI, Vol. xx(x), Xxx. 20xx. 2088-2033 (e-ISSN : 2721-3560 p-ISSN : 2655-2337) 12 Probl., vol. 16, no. 1, pp. 5–18, 2021, doi: 10.21307/tp-2021-001.

M. Szkoda and M. Satora, “The application of failure mode and effects analysis (FMEA) for the risk

assessment of changes in the maintenance system of railway vehicles,” Czas. Tech., no. 8, pp. 159–

, 2019, doi: 10.4467/2353737xct.19.086.10865.

F. Corman, S. Kraijema, M. Godjevac, and G. Lodewijks, “Optimizing preventive maintenance

policy: A data-driven application for a light rail braking system,” Proc. Inst. Mech. Eng. Part O J.

Risk Reliab., vol. 231, no. 5, pp. 534–545, 2017, doi: 10.1177/1748006X17712662.

J. Grenčík, R. Poprocký, J. Galliková, and P. Volna, “Use of risk assessment methods in

maintenance for more reliable rolling stock operation,” MATEC Web Conf., vol. 157, pp. 1–11,

, doi: 10.1051/matecconf/201815704002.

J. Lin, J. Pulido, and M. Asplund, “Reliability analysis for preventive maintenance based on

classical and Bayesian semi-parametric degradation approaches using locomotive wheel-sets as a

case study,” Reliab. Eng. Syst. Saf., vol. 134, pp. 143–156, 2015, doi: 10.1016/j.ress.2014.10.011.

J. Lin, M. Asplunda, and A. Paridaa, “Reliability analysis for degradation of locomotive wheels

using parametric bayesian approach,” Qual. Reliab. Eng. Int., vol. 30, no. 5, pp. 657–667, 2014, doi:

1002/qre.1518.

D. Eisenberger and O. Fink, “Assessment of maintenance strategies for railway vehicles using Petri nets,” Transp. Res. Procedia, vol. 27, pp. 205–214, 2017, doi: 10.1016/j.trpro.2017.12.012.

J. Lin, M. Asplund, and A. Parida, “Bayesian parametric analysis for reliability study of locomotive

wheels,” Proc. - Annu. Reliab. Maintainab. Symp., pp. 1–6, 2013, doi:

1109/RAMS.2013.6517760.

Y. H. Li, Y. D. Wang, and W. Z. Zhao, “Bogie failure mode analysis for railway freight car based

on FMECA,” Proc. 2009 8th Int. Conf. Reliab. Maintainab. Safety, ICRMS 2009, pp. 5–8, 2009, doi:

1109/ICRMS.2009.5270253.

E. Ruijters, D. Guck, P. Drolenga, and M. Stoelinga, “Fault maintenance trees: Reliability centered

maintenance via statistical model checking,” Proc. - Annu. Reliab. Maintainab. Symp., vol. 2016-

April, pp. 2–7, 2016, doi: 10.1109/RAMS.2016.7447986.

E. Ruijters, D. Guck, P. Drolenga, M. Peters, and M. Stoelinga, “Maintenance analysis and

optimization via statistical model checking: Evaluating a train pneumatic compressor,” Lect. Notes

Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9826

LNCS, pp. 331–347, 2016, doi: 10.1007/978-3-319-43425-4_22.

H. Lee, E. Joung, G. Kim, and C. Lee, “A study on management system for reliability analysis in

advanced EMU,” 2012 IEEE Veh. Power Propuls. Conf. VPPC 2012, pp. 1266–1269, 2012, doi:

1109/VPPC.2012.6422708.

M. Babeł and M. Szkoda, “Diesel locomotive efficiency and reliability improvement as a result of

power unit load control system modernisation,” Eksploat. i Niezawodn., vol. 18, no. 1, pp. 38–49,

, doi: 10.17531/ein.2016.1.6.

R. Melnik, S. Koziak, B. Sowiński, and A. Chudzikiewicz, “Reliability analysis of metro vehicles

operating in Poland,” Transp. Res. Procedia, vol. 40, pp. 808–814, 2019, doi:

1016/j.trpro.2019.07.114.

S. M. Rezvanizaniani, M. Valibeigloo, M. Asghari, J. Barabady, and U. Kumar, “Reliability

Centered Maintenance for rolling stock: A case study in coaches’ wheel sets of passenger trains of

Iranian railway,” 2008 IEEE Int. Conf. Ind. Eng. Eng. Manag. IEEM 2008, pp. 516–520, 2008, doi:

1109/IEEM.2008.4737922.

F. Dinmohammadi, B. Alkali, M. Shafiee, C. Bérenguer, and A. Labib, “Risk Evaluation of Railway

Rolling Stock Failures Using FMECA Technique: A Case Study of Passenger Door System,” Urban

Rail Transit, vol. 2, no. 3–4, pp. 128–145, Dec. 2016, doi: 10.1007/s40864-016-0043-z.

B. M. Alkali, V. Orsi, and A. Ramani, “Rolling stock door system reliability improvement using

maintenance optimisation,” Civil-Comp Proc., vol. 110, 2016, doi: 10.4203/ccp.110.281.

B. . Alkali, F. Dinmohammadi, and A. Ramani, “Towards implementing condition based

maintenance policy for rolling stock critical system,” Pap. Present. Stephenson Conf. Res. Railw.

London, United Kingdom, 25/04/17 - 27/04/17, 2017.

S. Adelé, S. Tréfond-Alexandre, C. Dionisio, and P. A. Hoyau, “Exploring the behavior of suburban

train users in the event of disruptions,” Transp. Res. Part F Traffic Psychol. Behav., vol. 65, pp.

–362, 2019, doi: 10.1016/j.trf.2019.08.009.

A. Consilvio, A. Di Febbraro, and N. Sacco, “A Rolling-Horizon Approach for Predictive

Maintenance Planning to Reduce the Risk of Rail Service Disruptions,” IEEE Trans. Reliab., vol.

, no. 3, pp. 875–886, 2021, doi: 10.1109/TR.2020.3007504.

R. Sharma, Vartika & Mishra, “Reliability Evaluation of High Speed Train Bogie System Based on

IPTEK Jurnal Nasional AMORI, Vol. xx(x), Xxx. 20xx. 2088-2033 (e-ISSN : 2721-3560 p-ISSN : 2655-2337) 13

Stochastic Network Flow Model,” Int. J. Math. Sci. Comput., vol. 6, pp. 29–36, 2020, doi:

5815/ijmsc.2020.05.03.

M. Bhebhe, “Influence of different maintenance strategies on the availability of rolling stock,”

Faculty of Engineering Stellenbosch University, 2020.

M. Z. Gafurdjanovna, “Reliability improvement of special self-propelled rolling stock based on its

technical diagnostics,” J. Crit. Rev., vol. 7(12), pp. 186–189, 2020, doi:

https://doi.org/10.31838/jcr.07.12.33.

D. Wang, P. Xu, X. Xiao, L. Kong, Q. Che, and C. Yang, “Multiobjective and multicollision

scenario reliability-based design optimization of honeycomb-filled composite energy-absorbing

structures for subways,” Struct. Multidiscip. Optim., vol. 65, no. 8, pp. 1–25, 2022, doi:

1007/s00158-022-03343-5




DOI: http://dx.doi.org/10.12962/j27213560.v3i1.18994

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