PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A method for assessing the criticality of failures of railway vehicle components using the FMECA method

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Assessing the risk of hazards in the operation of rail vehicles is an important part of verifying their reliability and safety. This paper presents an example of the application of the Failure Mode and Effects Analysis included in dedicated railway standards, extended to the Failure Mode, Effects and Criticality Analysis with additional criticality factors. This extension allows for the assessment of the risk of failures of assemblies, subassemblies, and components of rail vehicles. Compared to the Failure Mode and Effects Analysis method, the Failure Mode, Effects and Criticality Analysis method introduces the indicators, such as: failure mode criticality, criticality of component, criticality of subassembly, and the criticality of assembly. It enables the more precise identification of critical components, subassemblies, and assemblies of the rail vehicles. This precision is crucial for planning preventive actions and maintenance strategies. The new method can be used to validate the results of classical Failure Mode and Effects Analysis using the indicator of failure mode criticality, which relies on the actual failure frequency function obtained from the reliability model of individual failure modes. This would increase the accuracy of the analysis and allow for a better representation of the system's actual behavior. The extended Failure Mode, Effects and Criticality Analysis method enables a more comprehensive criticality analysis, considering not only the value of criticality indicators but also their quantities in the reliability hierarchical structure of the analyzed wagons.
Czasopismo
Rocznik
Strony
93--106
Opis fizyczny
Bibliogr. 21 poz.
Twórcy
  • Cracow University of Technology, Department of Rail Vehicles and Transport; Jana Pawla II 37 av., 31-864 Cracow, Poland
  • Cracow University of Technology, Department of Rail Vehicles and Transport; Jana Pawla II 37 av., 31-864 Cracow, Poland
  • Cracow University of Technology, Department of Rail Vehicles and Transport; Jana Pawla II 37 av., 31-864 Cracow, Poland
Bibliografia
  • 1. Abioye, O.F. & Dulebenets, M.A. & Pasha, J. & et al. Accident and hazard prediction models for highway-rail grade crossings: a state-of-the-practice review for the USA. Railway Engineering Science. Springer. 2020. Vol. 28. No. 3. P. 251-274.
  • 2. Catelani, M. & Ciani, L. & Galar, D. & et al. FMECA Assessment for railway safety-critical systems investigating a new risk threshold method. IEEE Access. 2021. Vol. 9. P. 86243-86253.
  • 3. Chi, C.F. & Sigmund, D. & Astardi, M.O. Classification scheme for root cause and Failure Modes and Effects Analysis (FMEA) of passenger vehicle recalls. Reliability Engineering and System Safety. 2020. Vol. 200. No. 106929.
  • 4. Commission Implementing Regulation (EU) 2019/773 of 16 May 2019 on the technical specification for interoperability relating to the operation and traffic management subsystem of the rail system within the European OJ L 139I. 27.5.2019.
  • 5. Dinmohammadi, F. & Alkali, B. & Shafiee, M. & et al. Risk evaluation of railway rolling stock failures using FMECA technique: a case study of passenger door system. Urban Rail Transit. 2016. Vol. 2(3-4). P. 128-145.
  • 6. Ferreira L.A. & Silva J.L. Parameter estimation for Weibull distribution with right censored data using EM algorithm. Eksploatacja i Niezawodnosc – Maintenance and Reliability. 2017. Vol. 19(2). P. 310-315.
  • 7. Fu, Y. & Qin, Y. & Wang, W. & et. al. An extended FMEA model based on cumulative prospect theory and type‐2 intuitionistic fuzzy VIKOR for the railway train risk prioritization. Entropy. 2020. Vol. 22(12). P. 1-19.
  • 8. IEC-60812:2018. Analysis techniques for system reliability – Procedure for failure mode and effects analysis (FMEA). The International Electrotechnical Commission. 9. Jamroziak, K. & Kwasniowski, S. & Kosobudzki, M. et al. Intelligent forecasting of automatic train protection system failure rate in China high-speed railway. Eksploatacja i Niezawodnosc –Maintenance and Reliability. 2019. Vol. 21(4). P. 567-576.
  • 10. Jia, S. & Yan, C. & Kang, J. & et al. Optimal allocation of reliability improvement target based on multiple correlation failures and risk uncertainty. Eksploatacja i Niezawodnosc – Maintenance and Reliability. 2023. Vol. 25(1). DOI: 10.17531/ein.2023.1.8.
  • 11. Konowrocki, R. & Chojnacki, A. Analysis of rail vehicles’ operational reliability in the aspect of safety against derailment based on various methods of determining the assessment criterion. Eksploatacja i Niezawodność – Maintenance and Reliability. 2020. Vol. 22(1). P. 73-85.
  • 12. LaFleur, C.B. & Muna, A.B. & Groth, K.M. & et. al. Failure Analysis of LNG rail locomotives. 2017. Available at: https://www.osti.gov/servlets/purl/1431587.
  • 13. Macura, D. & Laketić, M. & Pamučar, D. & et. al. Risk analysis model with interval type-2 fuzzy FMEA-case study of railway infrastructure projects in the Republic of Serbia. Acta Polytechnica Hungarica. 2022. Vol. 19. No. 3. P. 103-118.
  • 14. MIL-STD 1629A Military Standard: Procedures for performing a failure mode, effects, and criticality analysis. 24.11.1980.
  • 15. Oz, M.A. & Kaymakcı, O.T. & Koyun, A. A safety related perspective for the power supply systems in railway industry. Eksploatacja i Niezawodność – Maintenance and Reliability. 2017. Vol. 19(1). P. 114-120.
  • 16. Rahimdel, M.J. & Ghodrati, B. Risk prioritization for failure modes in mining railcars. Sustainability (Switzerland). 2021. Vol. 13(11). No. 6195.
  • 17. Szaciłło, L. & Jacyna, M. & Szczepański, E. & et al. Risk assessment for rail freight transport operations. Eksploatacja i Niezawodność – Maintenance and Reliability. 2021. Vol. 23(3). P. 476-488.
  • 18. Szkoda, M. & Satora, M. The application of failure mode and effects analysis (FMEA) for the risk assessment of changes in the maintenance system of railway vehicles. Czasopismo Techniczne. Technical Transactions. 2019. Vol. 8. P. 159-172.
  • 19. Szmel, D. & Wawrzyniak, D. Application of FMEA method in railway signalling projects. Journal of Konbin. 2017. Vol. 42(1). P. 93-110.
  • 20. Ye, Y.G. & Shi, D.C. & Poveda-Reyes, S. & et. al. Quantification of the influence of rolling stock failures on track deterioration. 2020. Journal of Zhejiang University: Science A. Vol. 21(10). P. 783-798.
  • 21. Zhu, W. & Li, C.Y. & Xiao, X.Y. & et al. Diagnosing urban rail transit vehicles with FMEA and fuzzy set. 2015. Journal of Quality in Maintenance Engineering. Vol. 21(3). P. 332-345.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-472f1c0a-a33b-426b-a8aa-0fdebe327154
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.