Monte Carlo simulation application to reliability assessment of an exemplary system operating at variable conditions

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

Abstrakty

EN

A semi-Markov process is applied to construct the multistate model of the system operation process and its main characteristics are determined. Analytical linking of the system operation process model with the system multistate reliability model is 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 an exemplary system. Next the results of this simulation method application are illustrated and compared with the results obtained by the analytical method.

Słowa kluczowe

EN

system reliability; system operation process; Monte Carlo simulation approach

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2015
• Tom: Vol. 6, No. 1
• Strony: 137--144
• 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

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• [2] Grabski, F. (2015). Semi-Markov Processes: Applications in System Reliability and Maintenance. Elsevier.
• [3] Kołowrocki K. (2014). Reliability of large and complex systems, Elsevier.
• [4] Kołowrocki, K., Kuligowska, E. & SoszyńskaBudny, J. (2015). Reliability assessment of an exemplary system operating at variable conditions. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 6, 1,129-136.
• [5] Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes: Modeling – Identification – Prediction – Optimization. Springer.
• [6] 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.
• [7] Soszyńska, J. (2007). Systems reliability analysis in variable operation conditions. International Journal of Reliability, Quality and Safety Engineering. Special Issue: System Reliability and Safety, Vol. 14, No 6, 617-634.
• [8] Zio, E. & Marseguerra, M. (2002). Basics of the Monte Carlo Method with Application to System Reliability. LiLoLe, ISBN 3-934447-06-6.