Critical infrastructure operation process

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

Abstrakty

EN

The operation process of the critical infrastructure is considered and its operation states are introduced. The semi- Markov process is used to construct a general probabilistic model of the critical infrastructure operation process.

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: 1--6
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Kołowrocki K.

• 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. Collet J., Some remarks on rare-event approximation. IEEE Transactions on Reliability 45, 106-108, 1996
• 3. EU-CIRCLE Report D2.1-GMU2, Modelling outside dependences influence on Critical Infrastructure Safety (CIS) – Modelling Critical Infrastructure Operation Process (CIOP) including Operating Environment Threats (OET), 2016
• 4. EU-CIRCLE Report D2.1-GMU3, Modelling outside dependences influence on Critical Infrastructure Safety (CIS) – Modelling Climate-Weather Change Process (C-WCP) including Extreme Weather Hazards (EWH), 2016
• 5. 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
• 6. Kołowrocki K., Safety of critical infrastructures – An overall approach, Keynote Speech. International Conference on Safety and Reliability - KONBiN 2013a 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
• 7. 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
• 8. 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
• 9. 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
• 10. 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
• 11. Kołowrocki K., Soszyńska-Budny J., Introduction to safety analysis of critical infrastructures. Proc. International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering - QR2MSE-2012, Chendgu, China, 1-6, 2012a
• 12. Limnios N., Oprisan G., Semi-Markov Processes and Reliability. Birkhauser, Boston, 2005
• 13. 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
• 14. Rice J. A., Mathematical statistics and data analysis. Duxbury. Thomson Brooks/Cole. University of California. Berkeley, 2007

Uwagi

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