Analysis of system operation process influence on its reliability

• Autorzy: Kuligowska E.
• Języki publikacji: EN

Abstrakty

EN

The paper presents analytical and Monte Carlo simulation methods applied to the reliability evaluation of a system operating in two different operation states. A semi-Markov process is applied to construct the system operation model and its main characteristics are determined. Analytical linking of this operation model with the system reliability model is proposed to get a general reliability model of the system operating at two varying in time operation conditions and to find its reliability characteristics. The application of Monte Carlo simulation based on this general model to the reliability evaluation of this system is proposed as well. The exemplary results obtained from those two considered methods are illustrated.

Słowa kluczowe

EN

system reliability; system operation process; analytical approach; Monte Carlo simulation

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2014
• Tom: Vol. 5, No. 1
• Strony: 125--135
• Opis fizyczny: Bibliogr. 8 poz., rys., tab., wykr.

Twórcy

autor

Kuligowska E.

• Maritime University, Gdynia, Poland

Bibliografia

• [1] Grabski, F. (2002). Semi-Markowskie modele niezawodności i eksploatacji. System Research Institute, Polish Academy of Science.
• [2] Grabski, F. & Jaźwiński, J. (2009). Funkcje o losowych argumentach w zagadnieniach niezawodności, bezpieczeństwa i logistyki. Wydawnictwa Komunikacji i Łączności.
• [3] 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 Vol. 1, 73-81.
• [4] Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes: Modeling – Identification – Prediction – Optimization. Springer, ISBN 9780-85729-693-1.
• [5] Kuligowska, E. (2013). Reliability analysis of a system subjected to two-state operation process. Scientific Journals Maritime University of Szczecin Vol. 1, No 36, 100-104.
• [6] 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.
• [7] Renyi A. (1970). Probability Theory. North Holland, Amsterdam, 198.
• [8] Zio, E. & Marseguerra, M. (2002). Basics of the Monte Carlo Method with Application to System Reliability. LiLoLe, ISBN 3-934447-06-6.