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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-278d22b6-0465-45e5-914b-ca804f316b1d

Czasopismo

Archives of Transport

Tytuł artykułu

Reliability and availability assessment of diesel locomotive using fault tree analysis

Autorzy Szkoda, M.  Kaczor, G. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN The article presents an application of a method based on fault tree analysis and the Monte Carlo simulation in the assessment of reliability and availability of the rail means of transport. The primary target of the presented method is a cause and effect assessment of the occurrence of undesirable events, the determination of selected reliability indices and identification of the weakest components of rail vehicle that affect the downtime and technical availability most strongly. To illustrate the application of the presented method, the results of a project involving a 6Dg diesel locomotive, carried out in cooperation with the biggest Polish rail carrier, are shown. The assessment of availability and reliability was based on real operation data of a selected sample of seventy-five locomotives. Based on the collected data from the operation of the 6Dg locomotives, the times-to-failure and the times-to repair models were determined. A fault tree model of the locomotive was developed to assess the influence of the faults of the components on the reliability of the vehicle. A discrete simulation process allows to obtain a chosen characteristics and values of the selected measures, which – according to the authors – may be applied to assess the reliability and availability of the rail vehicles. Specialist software including Weibull++, BlockSim and MiniTab aided calculations were performed. The software includes and advanced solutions in the range of the reliability and availability simulations. The test results indicate that the proposed solution has a wide applicability potential.
Słowa kluczowe
PL ocena niezawodności   dostępność   analiza błędów   pojazdy kolejowe   lokomotywa   metoda Monte Carlo  
EN reliability assessment   availability   fault analysis   rail vehicles   locomotive   Monte Carlo simulation  
Wydawca Warsaw University of Technology, Faculty of Transport
Czasopismo Archives of Transport
Rocznik 2016
Tom Vol. 40, iss. 4
Strony 65--75
Opis fizyczny Bibliogr. 18 poz., fot., rys., tab., wykr.
Twórcy
autor Szkoda, M.
autor Kaczor, G.
  • Cracow University of Technology, Faculty of Mechanical Engineering, Institute of Rail Vehicles, Cracow, Poland, gkaczor@pk.edu.pl
Bibliografia
[1] CHŁOPEK, Z., 2009. The cognitive interpretation of the Monte Carlo method for the technical applications. Eksploatacja i Niezawodność – Maintenance and Reliability, 3, pp. 38-46.
[2] RAO, K. D., GOPIKA, V., RAO V.V.S., KUSHWAHA, H. S., VERMA, A. K., SRIVIDYA, A., 2009. Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliability Engineering & System Safety, 94(4), pp. 872-883.
[3] HAN, S. H., LIM, H. G., 2012. Top event probability evaluation of a fault tree having circular logics by using Monte Carlo method. Nuclear Engineering and Design 2, 243, pp. 336-340.
[4] JAŹWIŃSKI, J., SALAMONOWICZ, T., SMALKO, Z., 2001. Using the beta distribution for assessment of availability and reliability of transport systems. Archives of Transport, 13(4), pp. 41-53.
[5] MANZINI, R., REGATTIERI, A., PHAM H., & FERRARI, E., 2010. Maintenance for Industrial Systems. London: Springer-Verlag Gmbh, 2010.
[6] MARQUEZ, A. C., HEGUEDAS, A. S., IUNG, B., 2005. Monte Carlo-based assessment of system availability. Reliability Engineering & System Safety, 88(3), pp. 273-289.
[7] MERLE, G., ROUSSEL, J. M., LESAGE, J. J., PERCHET, V., VAYATIS, N., 2014. Quantitative Analysis of Dynamic Fault Trees Based on the Coupling of Structure Functions and Monte Carlo Simulation. Quality and Reliability Engineering International, 30, pp. 143-156.
[8] O’CONNOR, P., 2010. Practical Reliability Engineering. 4th Edition. John Wiley & Sons Ltd.
[9] QIU, S., SALLAK, M., SCHÖN, W., CHERFI-BOULANGER, Z., 2014. Availability assessment of railway signaling systems with uncertainty analysis using Statecharts. Simulation Modelling Practice and Theory, 47, pp. 1-18.
[10] RAIDWAN, M. I., RAHMAN, M. R. A., YUNUS, B., MUSA, A., 2013. Transmission line fault clearing system reliability assessment: application of life data analysis with Weibull Distribution and Reliability Block Diagram. Journal of Emerging Technologies in Web Intelligence, 5(2), pp. 107-116.
[11] RELIASOFT CORPORATION, 2009. System analysis reference: reliability, availability & optimization. Tucson, AZ: ReliaSoft Publishing.
[12] SZKODA, M., 2014. Assessment of Reliability, Availability and Maintainability of Rail Gauge Change Systems. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 16(3), pp. 422-432.
[13] SZKODA, M., BABEŁ, M., 2016. Diesel locomotive efficiency and reliability improvement as a result of power unit load control system modernisation. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 18(1), pp. 38-49.
[14] SZKODA, M., TUŁECKI, A., 2016. Ecology, energy efficiency and resource efficiency as the objectives of rail vehicles renewal. World Conference on Transport Research WCTR, Shanghai, 10-15 July 2016.
[15] Technical and economic study of renewal of the trainset fleet operated by PKP CARGO S.A. Stage IV: Modernisation of a SM42 diesel shunting locomotive. Project No. M-8/631/2006, Cracow University of Technology, Institute of Rail Vehicles (CUT), Jan. 2007.
[16] TOMASZEWSKI, F., SZYMAŃSKI, G., 2012. Frequency analysis of vibrations of the internal combustion engine components in the diagnosis of engine processes. Archives of Transport, 24(1), pp. 117-125.
[17] XIA, M., LI, X., JIANG, F., WANG, S., 2012. Cause analysis and countermeasures of locomotive runway accident based on fault tree analysis method. Procedia Engineering, 45, pp. 38-42.
[18] ZIO, E., MARELLA, M., PODOLLINI L., 2007. A Monte Carlo simulation approach to the availability assessment of multi-state systems with operational dependencies. Reliability Engineering & System Safety, 92(7), pp. 871-882.
Uwagi
PL Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-278d22b6-0465-45e5-914b-ca804f316b1d
Identyfikatory
DOI 10.5604/08669546.1225470