Critical infrastructure operation process including operating environment threats

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

Abstrakty

EN

Considering a significant influence of the critical infrastructure operating environment threats on its operation process and safety, based on semi-Markov processes theory, a convergent to reality model of the critical infrastructure operation process related to critical infrastructure operating environment threats is built. The method of defining the parameters of this operation process is presented and new procedures of their determining in the case when the critical infrastructure operating threats are not explicit separated in this process are proposed.

Słowa kluczowe

EN

critical infrastructure; operation; prediction; climate-weather change

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2017
• Tom: Vol. 8, No. 2
• Strony: 7--14
• Opis fizyczny: Bibliogr. 14 poz.

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. EU-CIRCLE Report D3.3-GMU3, Modelling inside and outside dependences influence on safety of complex multistate ageing systems (critical infrastructures) – Integrated Model of Critical Infrastructure Safety (IMCIS) related to its operation process including operating environment threats (with other critical infrastructures influence, without climate-weather change influence), 2016
• 2. Ferreira F., Pacheco A., Comparison of level-crossing times for Markov and semi-Markov processes. Statistics and Probability Letters, Vol. 7, No 2, 151- 157, 2007
• 3. Glynn P.W., Haas P.J., Laws of large numbers and functional central limit theorems for generalized semi Markov processes. Stochastic Models, Vol. 22, No 2, 201-231, 2006
• 4. Grabski F., (2002) Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science, 2002 (in Polish)
• 5. Kołowrocki K., Reliability of Large and Complex Systems, Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier, 2014b
• 6. Kołowrocki K., Soszyńska J., A general model of industrial systems operation processes related to their environment and infrastructure. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 2, Vol. 2, 223-226, 2008
• 7. Kołowrocki K., Soszyńska J., Methods and algorithms for evaluating unknown parameters of operation processes of complex technical systems. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 3, Vol. 1, 2, 211-222, 2009d
• 8. Kołowrocki K., Soszyńska J., Statistical identification and prediction of the port oil pipeline system’s operation process and its reliability and risk evaluation. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 4, Vol. 2, 241-250, 2009e
• 9. Kolowrocki K., Soszynska J., Reliability modeling of a port oil transportation system’s operation processes. International Journal of Performability Engineering, Vol. 6, No. 1, 77-87, 2010a
• 10. Kolowrocki K., Soszynska J., Testing uniformity of statistical data sets coming from complex systems operation processes. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 4, Vol. 1,123-132, 2010b
• 11. Limnios N., Oprisan G., Semi-Markov Processes and Reliability. Birkhauser, Boston, 2005
• 12. Limnios N., Ouhbi B., Sadek A., Empirical estimator of stationary distribution for semi-Markov processes. Communications in Statistics-Theory and Methods, Vol. 34, No. 4, 987-995 12, 2005
• 13. Macci C., Large deviations for empirical estimators of the stationary distribution of a semi-Markov process with finite state space. Communications in Statistics- Theory and Methods, Vol. 37, No. 19,3077-3089, 2008
• 14. Mercier S., Numerical bounds for semi-Markovian quantities and application to reliability. Methodology and Computing in Applied Probability, Vol. 10, No. 2, 179-198, 2008

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).