Critical infrastructure operation process related to operating environment threats and extreme weather hazards

• 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, more precise and 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 a new procedure of their determining in the case when the critical infrastructure operating threats are not explicit separated in this process is proposed.

Słowa kluczowe

EN

critical infrastructure; operation; prediction; environment threats; extreme weather hazards

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2017
• Tom: Vol. 8, No. 2
• Strony: 41--58
• Opis fizyczny: Bibliogr. 21 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. Barbu V., Limnios N., Empirical estimation for discrete-time semi-Markov processes with applications in reliability. Journal of Nonparametric Statistics, Vol. 18, No. 7-8, 483-498, 2006
• 2. EU-CIRCLE Report D2.1-GMU3, Modelling outside dependences influence on Critical Infrastructure Safety (CIS) – Modelling Climate-Weather ChangeProcess (C-WCP) including Extreme Weather Hazards (EWH), 2016
• 3. EU-CIRCLE Report D2.1-GMU4, Modelling outside dependences influence on Critical Infrastructure Safety (CIS) - Designing Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH) by linking CIOP and C-WCP models, 2016
• 4. EU-CIRCLE Report D2.3-GMU2, Identification methods and procedures of Climate-Weather Change Process (C-WCP) including Extreme Weather Hazards (EWH), 2016
• 5. EU-CIRCLE Report D2.3-GMU3, Identification methods and procedures of unknown parameters of Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH), 2016
• 6. 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
• 7. 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
• 8. Grabski F., (2002) Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science, 2002 (in Polish)
• 9. 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
• 10. 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
• 11. Kolowrocki K., Soszynska J., Modeling environment and infrastructure influence on reliability and operation process of port oil transportation system. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 3, 131-142, 2009a
• 12. 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
• 13. 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
• 14. Kołowrocki K., Soszyńska-Budny J., Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization, London, Dordrecht, Heildeberg, New York, Springer, 2011
• 15. Kołowrocki K., Soszyńska-Budny J., Preliminary approach to safety analysis of critical infrastructures. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 3, No 1, 73-88, 2012
• 16. Kołowrocki K., Soszyńska-Budny J., Prediction of Critical Infrastructures Safety. Proc. 10th International Conference on Digital Technologies – DT 2014, Zilina, Slovakia, 141-149, 2014b
• 17. Kołowrocki K., Soszyńska-Budny J., Complex system operation cost optimization. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 6, No 2, 13-18, 2015a
• 18. Limnios N., Oprisan G., Semi-Markov Processes and Reliability. Birkhauser, Boston, 2005
• 19. 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
• 20. 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
• 21. 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).