Reliability of complex system under operation process influence : Monte Carlo simulation Approach

• Autorzy: Kołowrocki K. , Kuligowska E. , Soszyńska-Budny J.
• Języki publikacji: EN

Abstrakty

EN

The paper presents Monte Carlo simulation method applied to the reliability evaluation of a multistate system subjected to a variable multistate operation process. The system operation process model is linked with the system reliability model and proposed to get a general reliability model of the complex system operating at varying in time operation conditions and to find its reliability characteristics. The Monte Carlo simulation algorithm based on the integrated general model of a complex multistate system reliability, linking its reliability model and its operation process model and considering variable at different operation states its reliability structure and its components reliability parameters is applied to the reliability evaluation of port grain transportation system. Next the results of this simulation method application are illustrated and compared with the results obtained by the analytical method.

Słowa kluczowe

EN

multistate system; operation process; complex system; reliability; Monte Carlo simulation

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2015
• Tom: Vol. 6, No. 1
• Strony: 145--154
• Opis fizyczny: Bibliogr. 8 poz., rys., wykr.

Twórcy

autor

Kołowrocki K.

• Maritime University, Gdynia, Poland

autor

Kuligowska E.

• Maritime University, Gdynia, Poland

autor

Soszyńska-Budny J.

• Maritime University, Gdynia, Poland

Bibliografia

• [1] Grabski, F. & Jaźwiński, J. (2009). Funkcje o losowych argumentach w zagadnieniach niezawodności, bezpieczeństwa i logistyki. Wydawnictwa Komunikacji i Łączności.
• [2] Grabski, F. (2014). Semi-Markov Processes: Applications in System Reliability and Maintenance. Elsevier.
• [3] Kołowrocki, K. (2014). Reliability of large and complex systems, Elsevier, Oxford.
• [4] Kołowrocki, K. & Kuligowska, E. (2013). Monte Carlo simulation application to reliability evaluation of port grain transportation system operating at variable conditions. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 4, 1, 73-81.
• [5] Kołowrocki, K., Kuligowska, E. & SoszyńskaBudny, J. (2015). Reliability of Complex System under Operation Process Influence – Analytical Approach, Proc. Applied Stochastic Models and Data Analysis (ASMDA) International Society 2015.
• [6] Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes: Modeling – Identification – Prediction – Optimization. Springer.
• [7] Kuligowska, E. (2012). Preliminary Monte Carlo approach to complex system reliability analysis. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 3, 59-71.
• [8] Zio, E. & Marseguerra, M. (2002). Basics of the Monte Carlo Method with Application to System Reliability. LiLoLe, ISBN 3-934447-06-6.