Erdinč Rakipovski, Dragan Milčić

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The results of distributor valve fault tree analysis are presented in this paper. A brief description and procedure of fault tree analysis are given in the first two parts. The reliability of the distributor valve is extremely important for the functioning of the air brake system. For this reason, reliability analysis of distributor valve based on the time to failure is shown in this paper. The distributor valve should react to changes in brake pipe pressure and provide the corresponding pressure in the brake cylinder.


reliability, fault tree analysis, braking system, distributor valve, freight wagon

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Jegadeeshwaran, R. & Sugumaran, V.: Fault diagnosis of hydraulic brake system using statistical features and support vector machines. Mechanical Systems and Signal Processing 52(1): 436-446, 2015.

Technical specification for interoperability relating to the infrastructure subsystem of the rail system in the European Union. (No. 1299/2014/EU). European Railway Agency, 2014.

Technical specifications for the interoperability of the European railway system (EU 1302/2014). European Railway Agency, 2014.

Zheng, S.L. & Lu, X.: Lightweight design of vehicle components based on strengthening effects of low-amplitude loads below fatigue limit. Fatigue and Fracture of Engineering Materials Structures 35(3): 269-277, 2012.

Xie, W., Liao, H.T. & Jin, T.D.: Maximizing system availability through joint decision on component redundancy and spares inventory. European Journal of Operational Research 11(237): 164-176, 2014.

Liu, C.H. & Huang, H.: An interval analysis for the mesco ductile fracture, Key Engineering Materials 2(324): 971-974, 2006.

Huang, X. & Zhang, Y.: A probability estimation method for reliability analysis using mapped Gegenbauer polynomials. Proceedings of the Institution of Mechanical Engineers, Part O, Journal of Risk and Reliability 228(1): 72-82, 2014.

Liu, C.H. & Chen, Q.: Interval analysis of fuzzy-random heat conduction in the composite tubes. Applied Mathematics and Mechanics 10(26): 1312-1318, 2005.

Allella, F., Chiodo, E. & Lauria, D.: Optimal reliability allocation under uncertain conditions with application to hybrid electric vehicle design. International Journal of Quality and Reliability Management 22(6): 626-641, 2004.

Song, S., Coit, D.W., Feng, Q. & Peng, H.: Reliability analysis for multi-component systems subject to multiple dependent competing failure processes, Reliability. IEEE Transactions 63(1): 331-345, 2014.

Wu, J.N. & Yan, S.Z.: An approach to system reliability prediction for mechanical equipment using fuzzy reasoning Petri net. Journal of Risk and Reliability 1(228): 39-51, 2014.

Liu, X.T., Zheng, S.L., Feng, J., Huang, H., Chu, J. & Zhao, L.H.: Reliability analysis and evaluation of automobile welding structure. Quality and Reliability Engineering International 30(8): 1293-1300, 2014.

Lei Liu, Xintian Lion, Xiaolan Wang, Yanson Wang, Chuanchang Li: Reliability analysis and evaluation of a brake system based on completing risks. Journal of Engineering Research, Kuwait University, 2017.

Mijajlović, M., Milčić, D.: Analiza fazi pouzdanosti mašinskih sistema, IMK-14 Istraživanje i razvoj. Časopis instituta IMK “14. Oktobar” Kruševac, Godina XV , Broj (30-31), 1-2. s. 107-114, 2009.

Milčić, D.: Pouzdanost mašinskih sistema, Univerzitet u Nišu, Mašinski fakultet Niš, 2005.

Milčić, D.: Mijajlović, M., Pouzdanost mašinskih sistema – Zbirka rešenih zadataka. Mašinski falkultet Univerziteta u Nišu, Niš, 2008.

Milčić, D., Veljanović, D.: Softver za analizu pouzdanosti mašinskih delova i sistema. Naučno-stručni skup IRMES ’06, Banjaluka-Mrakovica, s. 411-416, 2006.

Milčić, D., Mijajlović, M., Veljanović, D.: Analysis Reliability Software, 8th International Conference „Research and development in mechanical industry“ RaDMI, Užice, 2008.

Barlow R. E., Proschan F.: Statistical Theory of Reliability and Life Testing Probability Models, Holt, Rinehart and Winston, Inc., New York, 1975.

Lazor J. D.: Failure mode and effects analysis (FMEA) and Fault tree analysis (FTA) (Success tree analysis - STA), In Handbook of Reliability Engineering and Management, McGraw-Hill, pp. 6.1-6.46, 1995.

Xu, R., Che, J.G., Yang, Z.B. & Zuo, X.Y.: The fault tree analysis and its application in the system reliability analysis, Command Control & Simulation 2(32): 112-115, 2010.

Ćatić D.: Metode pouzdanosti mašinskih sistema, Univerzitetski udžbenik, Mašinski fakultet u Kragujevcu, Kragujevac, 2009.

Tu, J.L., Duan, R.X. & Dong, D.C.: An approach for construction of fault trees using rough set and fuzzy clustering algorithm, Applied Mechanics and Materials 11(35):186-191, 2010.

Popov, A., Stojkov, N.: Documentation, catalogues and maintenance manuals of distributor valve from Wabtec MZT in Skopje, Republic of Macedonia, 2004.

Wang, J.D. & Liu, T.S.: A component behavioural model for automatic fault tree construction, Reliability Engineering and System Safety 42(1): 87-100, 1993.

Sugumaran, V., Muralidharan, V. & Ramachandran, K.I.: Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing, Mechanical Systems and Signal Processing 21(2): 930-942, 2006.

Liu, X.T., Zheng, S.L., Feng, J., Huang, H., Chu, J. & Zhao, L.H.: Reliability analysis and evaluation of automobile welding structure, Quality and Reliability Engineering International 30(8): 1293-1300, 2014.

Chen, T., Zheng, S.L., Luo, H.W., Liu, X.T. & Feng, J.Z.: Reliability analysis of multiple causes of failure in presence of independent competing risks, Quality and Reliability Engineering International 32(2): 363-372, 2016.

W Peng, H Z Huang, Y Li: Life cycle reliability assessment of new products—A Bayesian model updating approach, Reliability Engineering & System Safety, 112(112): 109–119, 2013.

Vetoshkin A.G.: Reliability of technical systems and technogenic risk, Tutorial, Penza, 154. (in Russian), 2003.

Fumeo, E., Oneto, L., & Anguita, D.: Condition based maintenance in railway transportation systems based on big data streaming analysis, Procedia Computer Science, 53, 437–446, 2015.

Thaduri, A., Galar, D., & Kumar, U.: Railway assets: a potential domain for big data analytics, Procedia Computer Science, 53, 457–467, 2015.



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