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Abstract

Failure of the braking system is one of the factors causing traffic accidents, therefore periodic testing of goods transport vehicles is very important. In fact, the incidence rate is still very high despite routine testing. Standard Operating Procedures (SOP) for periodic testing must be updated to reduce the risk of possible accidents. Therefore, procedures for updating the SOP for periodic brake system testing are presented in this article. The Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) methods were applied based on accident investigation data from the National Transportation Safety Committee (NTSC) from 2017 to 2022. FTA is used for risk identification, while FMEA is used for risk analysis to find the highest-risk failure cases. The results of our analysis showed that 13 failure cases were classified as intolerable so additional SOPs were required for each case. Finally, the results of this study provide new insights for stakeholders to revise the rules regarding periodic vehicle testing.

Keywords

Periodic testing Braking system Risk analysis FTA FMEA Failure rate

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References

  1. Kementerian Perhubungan, “Angka Kecelakaan Masih Tinggi, Menhub: Kolaborasi Jadi Kunci Peningkatan Keselamatan Jalan,” 2022. https://dephub.go.id/post/read/angka-kecelakaan-masih-tinggi,-menhub-kolaborasi-jadi-kunci-peningkatan-keselamatan-jalan (accessed Dec. 22, 2022).
  2. Ministry of Transportation, Regulation of the Minister of Transportation of the Republic of Indonesia Number PM 19 of 2021 concerning Periodic Testing of Motor Vehicles. 2019.
  3. Traffic Corps of the Republic of Indonesia, Data of traffic accidents 2017 - 2021. 2022.
  4. Komite Nasional Keselamatan Transportasi, NTSC Investigation Book Year 2021. 2022.
  5. Government of the Republic of Indonesia, Law Number 22 of 2009 concerning Road Traffic and Transportation. 2009.
  6. International Organization for Standardization, “ISO 31000:2009-Risk Management – Principles and Guidelines,” 2013. .
  7. L. J. Bain and M. Engelhardt, “Introduction to probability and mathematical statistics,” in The Duxbury advanced series in statistics and decision sciences, 2nd ed., Boston: PWS-KENT Pub, 1992.
  8. E. Clifton, “Fault Tree Analysis – A History,” in A History from the Proceedings of The 17th International System Safety Conference, Belgium, 1999.
  9. M. Sarbayev, M. Yang, and H. Wang, “Risk assessment of process systems by mapping fault tree into artificial neural network,” Journal of Loss Prevention in the Process Industries, vol. 60, pp. 203–212, 2019, doi: 10.1016/j.jlp.2019.05.006.
  10. Y.-J. Ahn, Y.-U. Yu, and J.-K. Kim, “Accident cause factor of fires and explosions in tankers using fault tree analysis,” Journal of Marine Science and Engineering, vol. 9, no. 8, p. 844, 2021, doi: 10.3390/jmse9080844.
  11. J. Zhang, J. Kang, L. Sun, and X. Bai, “Risk assessment of floating offshore wind turbines based on fuzzy fault tree analysis,” Ocean Engineering, vol. 239, p. 109859, 2021, doi: 10.1016/j.oceaneng.2021.109859.
  12. B. Bertsche, Reliability in automotive and mechanical engineering: determination of component and system reliability. Springer Science & Business Media, 2008.
  13. C. Sakar, A. C. Toz, M. Buber, and B. Koseoglu, “Risk analysis of grounding accidents by mapping a fault tree into a Bayesian network,” Applied Ocean Research, vol. 113, p. 102764, 2021, doi: 10.1016/j.apor.2021.102764.
  14. S. Markulik et al., “Application of FTA Analysis for Calculation of the Probability of the Failure of the Pressure Leaching Process,” Applied Sciences, vol. 11, no. 15, p. 6731, 2021, doi: 10.3390/app11156731.
  15. M. Whiteley, S. Dunnett, and L. Jackson, “Failure mode and effect analysis, and fault tree analysis of polymer electrolyte membrane fuel cells,” International Journal of Hydrogen Energy, vol. 41, no. 2, pp. 1187–1202, 2016, doi: 10.1016/j.ijhydene.2015.11.007.
  16. Komal, “Fuzzy fault tree analysis for patient safety risk modeling in healthcare under uncertainty,” Applied Soft Computing, vol. 37, pp. 942–951, 2015, doi: 10.1016/j.asoc.2015.08.005.
  17. D. Press, Guidelines for failure mode and effects analysis (FMEA), for automotive, aerospace, and general manufacturing industries. CRC Press, 2003.
  18. P. Huang, G. Hu, Z. Yong, B. Mao, and Z. Bai, “Fire risk assessment of battery transportation and storage by combining fault tree analysis and fuzzy logic,” Journal of Loss Prevention in the Process Industries, vol. 77, p. 104774, 2022, doi: 10.1016/j.jlp.2022.104774.
  19. I. M. Jiskani, F. Yasli, S. Hosseini, A. U. Rehman, and S. Uddin, “Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines,” Resources Policy, vol. 76, p. 102591, 2022, doi: 10.1016/j.resourpol.2022.102591.
  20. M. Sokukcu and C. Sakar, “Risk analysis of collision accidents during underway STS berthing maneuver through integrating fault tree analysis (FTA) into Bayesian network (BN),” Applied Ocean Research, vol. 126, p. 103290, 2022, doi: 10.1016/j.apor.2022.103290.
  21. Q. Xiao, Y. Li, F. Luo, and H. Liu, “Analysis and assessment of risks to public safety from unmanned aerial vehicles using fault tree analysis and Bayesian network,” Technology in Society, vol. 73, p. 102229, 2023, doi: 10.1016/j.techsoc.2023.102229.
  22. D. Ćatić, J. Glišović, J. Miković, and S. Veličković, “Analysis of failure causes and the criticality degree of elements of motor vehicle’s drum brakes,” Tribology in Industry, vol. 36, no. 3, p. 316, 2014.
  23. C. Zhang, Y. Han, Y. Lin, and D. Wang, “Reliability Analysis of Brake-by-wire Systems on Fault Tree,” in Journal of Physics: Conference Series, 2021, vol. 2029, no. 1, p. 12135, doi: 10.1088/1742-6596/2029/1/012135.
  24. M. Zhang, V. Kecojevic, and D. Komljenovic, “Investigation of haul truck-related fatal accidents in surface mining using fault tree analysis,” Safety science, vol. 65, pp. 106–117, 2014, doi: 10.1016/j.ssci.2014.01.005.
  25. M. Ghadhab, S. Junges, J.-P. Katoen, M. Kuntz, and M. Volk, “Safety analysis for vehicle guidance systems with dynamic fault trees,” Reliability engineering & system safety, vol. 186, pp. 37–50, 2019, doi: 10.1016/j.ress.2019.02.005.
  26. H. Soltanali, M. Khojastehpour, J. T. Farinha, and J. E. D. A. E. Pais, “An integrated fuzzy fault tree model with Bayesian Network-Based maintenance optimization of complex equipment in automotive manufacturing,” Energies, vol. 14, no. 22, p. 7758, 2021, doi: 10.3390/en14227758.
  27. T. Tinga, Principles of loads and failure mechanisms. Applications in maintenance, reliability and design. Springer Verlag, 2013.
  28. C. Park, C. Kontovas, Z. Yang, and C.-H. Chang, “A BN driven FMEA approach to assess maritime cybersecurity risks,” Ocean & Coastal Management, vol. 235, p. 106480, 2023, doi: 10.1016/j.ocecoaman.2023.106480.
  29. S. Hassan, J. Wang, C. Kontovas, and M. Bashir, “Modified FMEA hazard identification for cross-country petroleum pipeline using Fuzzy Rule Base and approximate reasoning,” Journal of Loss Prevention in the Process Industries, vol. 74, p. 104616, 2022, doi: 10.1016/j.jlp.2021.104616.
  30. P. Struss and A. Fraracci, “FMEA of a braking system-a kingdom for a qualitative valve model,” in 25th International Workshop on Qualitative Reasoning, 2011, pp. 16–18.
  31. P. Struss and A. Fraracci, “Automated model-based fmea of a braking system,” IFAC Proceedings Volumes, vol. 45, no. 20, pp. 373–378, 2012, doi: 10.3182/20120829-3-MX-2028.00230.
  32. P. Struss and A. Fraracci, “Modeling hydraulic components for automated fmea of a braking system,” in Annual Conference of the PHM Society, 2014, vol. 6, no. 1.
  33. D. H. Stamatis, Failure mode and effect analysis: FMEA from theory to execution. Quality Press, 2003.
  34. S. Yu, J. Liu, Q. Yang, and M. Pan, “A comparison of fmea, afmea and fta,” in The Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety, 2011, pp. 954–960, doi: 10.1109/ICRMS.2011.5979423.
  35. X. Han and J. Zhang, “A combined analysis method of FMEA and FTA for improving the safety analysis quality of safety-critical software,” in 2013 IEEE International Conference on Granular Computing (GrC), 2013, pp. 353–356, doi: 10.1109/GrC.2013.6740435.
  36. J. F. W. Peeters, R. J. I. Basten, and T. Tinga, “Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner,” Reliability engineering & system safety, vol. 172, pp. 36–44, 2018, doi: 10.1016/j.ress.2017.11.024.
  37. A. S. Relkar, “Risk analysis of equipment failure through failure mode and effect analysis and fault tree analysis,” Journal of Failure Analysis and Prevention, vol. 21, pp. 793–805, 2021, doi: 10.1007/s11668-021-01117-7.
  38. N. A. Wessiani and F. Yoshio, “Failure mode effect analysis and fault tree analysis as a combined methodology in risk management,” in IOP conference series: materials science and engineering, 2018, vol. 337, no. 1, p. 12033, doi: 10.1088/1757-899x/337/1/012033.
  39. S. Bastuti, “Analisis Risiko Kecelakaan Kerja Dengan Metode Failure Mode and Effect Analysis (Fmea) Dan Fault Tree Analysis (Fta) Untuk Menurunkan Tingkat Risiko Kecelakaan Kerja (Pt. Berkah Mirza Insani),” Teknologi: Jurnal Ilmiah dan Teknologi, vol. 2, no. 1, p. 48, 2020, doi: 10.32493/teknologi.v2i1.3909.
  40. C. K. Chae and J. W. Ko, “FTA-FMEA-based validity verification techniques for safety standards,” Korean Journal of Chemical Engineering, vol. 34, pp. 619–627, 2017, doi: 10.1007/s11814-016-0321-1.
  41. N. G. Mutlu and S. Altuntas, “Risk analysis for occupational safety and health in the textile industry: Integration of FMEA, FTA, and BIFPET methods,” International Journal of Industrial Ergonomics, vol. 72, pp. 222–240, 2019, doi: 10.1016/j.ergon.2019.05.013.
  42. R. Ding, Z. Liu, J. Xu, F. Meng, Y. Sui, and X. Men, “A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods,” Reliability Engineering & System Safety, vol. 216, p. 107911, 2021, doi: 10.1016/j.ress.2021.107911.
  43. T. Tang, Y. Lu, T. Zhou, H. Jing, and H. Sun, “FTA and FMEA of braking system based on relex 2009,” in Proceedings of International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2011, pp. 106–112, doi: 10.1109/ISCRAM.2011.6184087.
  44. T. Ji-liang, D. Rong-xing, Z. Xing-yuan, and D. De-cun, “Assessment model for the reliability of vehicle non-service brake system based on fault-tree analysis and meta-synthesis weight,” in Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, 2011, pp. 138–143, doi: 10.1109/icves.2011.5983803.
  45. CENELEC, “BS EN 50126-1:2017 Railway Applications. The Specification and Demonstration of Reliability, Availability, Maintainability and Safety (RAMS) Generic RAMS Process,” 2017. .

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