Identification of climate-weather change processes at Baltic Sea water area impacted on critical infrastructure safety and their accident consequences

• Autorzy: Dąbrowska Ewa , Torbicki Mateusz

Identyfikatory

DOI

10.26408/srsp-2021-06

• Konferencja: 15th Summer Safety & Reliability Seminars - SSARS 2021, 5-12 September 2021, Ciechocinek, Poland
• Języki publikacji: EN

Abstrakty

EN

There are presented the methods of identification of the climate-weather change process. These are the methods and procedures for estimating the unknown basic parameters of the climate-weather change process semi-Markov model and identifying the distributions of the climate-weather change process conditional sojourn times at the climate-weather states. There are given the formulae estimating the probabilities of the climate-weather change process staying at the particular climate-weather states at the initial moment, the probabilities of the climate-weather change transitions between the climate-weather states and the parameters of the distributions suitable and typical for the description of the climate-weather change process conditional sojourn times at the particular climate-weather states. The proposed statistical methods applications for the unknown parameters identification of the climate-weather change process model determining the climate-weather change process parameters for the port oil piping transportation system and maritime ferry operating areas are presented.

Słowa kluczowe

EN

climate-weather change process; identification; critical infrastructure; Baltic Sea water area

• Wydawca: Gdynia Maritime University ; Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Safety and Reliability of Systems and Processes
• Rocznik: 2021
• Tom: Summer Safety and Reliability Seminar 2021
• Strony: 77--116
• Opis fizyczny: Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Dąbrowska Ewa

• Gdynia Maritime University, Gdynia, Poland

• https://orcid.org/0000-0002-6704-9541

autor

Torbicki Mateusz

• Gdynia Maritime University, Gdynia, Poland

• https://orcid.org/0000-0003-4182-1932

Bibliografia

• Barbu, V. & Limnios, N. 2006. Empirical estimation for discrete-time semi-Markov processes with applications in reliability. Journal of Nonparametric Statistics 18(7-8), 483-498.
• Bogalecka, M. 2020. Consequences of Maritime Critical Infrastructure Accidents. Environmental Impacts. Modeling - Identification - Prediction - Optimization - Mitigation. Elsevier, Amsterdam - Oxford - Cambridge.
• Collet, J. 1996. Some remarks on rare-event approximation. IEEE Transactions on Reliability 45, 106-108.
• Dąbrowska, E. 2020. Safety analysis of car wheel system impacted by operation process. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 61-76.
• Drzazga, M., Kołowrocki, K., Soszyńska-Budny, J. & Torbicki, M. 2016. Port oil piping transportation critical infrastructure assets and interconnections. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(1), 37-42.
• Gamiz, M.L. & Roman, Y. 2008. Non-parametric estimation of the availability in a general repairable. Reliability Engineering & System Safety 93, 8, 1188-1196.
• Giudici, P. & Figini, S. 2009. Applied Data Mining for Business and Industry. John Wiley & Sons Ltd.
• GMU (Gdynia Maritime University) Safety Interactive Platform,http://gmu.safety.umg.edu.pl/ (accessed 13 Feb 2020).
• Grabski, F. 2014. Semi-Markov Processes: Application in System Reliability and Maintenance. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Francisco - Sydney - Tokyo.
• Habibullah, M.S., Lumanpauw, E., Kołowrocki, K., Soszyńska-Budny, J. & Ng, K.M. 2009. A computational tool for general model of operation processes in industrial systems operation processes. Electronic Journal Reliability & Risk Analysis: Theory & Applications 2(4), 181-191.
• Helvacioglu, S. & Insel, M. 2008. Expert system applications in marine technologies. Ocean Engineering 35(11-12), 1067-1074.
• Hryniewicz, O. 1995. Lifetime tests for imprecise data and fuzzy reliability requirements. Reliability and Safety Analyses under Fuzziness. T.Onisawa, & J.Kacprzyk (Eds.). Physica Verlag, Heidelberg, 169-182.
• Jakusik, E., Kołowrocki, K., Kuligowska, E.,Soszyńska-Budny, J. & Torbicki, M. 2016a. Identification methods and procedures of climate-weather change process including extreme weather hazards for maritime ferry operating at Baltic Sea open waters. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(3), 73-80.
• Jakusik, E., Kołowrocki, K., Kuligowska, E.,Soszyńska-Budny, J. & Torbicki, M. 2016b. Identification methods and procedures of climate-weather change process including extreme weather hazards for the maritime ferry operating at Gdynia port area. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(3), 65-72.
• Jakusik, E., Kołowrocki, K., Kuligowska, E.,Soszyńska-Budny, J. & Torbicki, M. 2016c. Identification methods and procedures of climate-weather change process including extreme weather hazards of port oil piping transportation system operating at land Baltic seaside area. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(3), 57-64.
• Jakusik, E., Kołowrocki, K., Kuligowska, E.,Soszyńska-Budny, J. & Torbicki, M. 2016d. Identification methods and procedures of climate-weather change process including extreme weather hazards for port oil piping transportation system operating at under water Baltic Sea area. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(3), 47-56.
• Jakusik, E., Kołowrocki, K., Kuligowska, E.,Soszyńska-Budny, J. & Torbicki, M. 2016e. Modelling climate-weather change process including extreme weather hazards for maritime ferry. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(2), 41-46.
• Jakusik, E., Kołowrocki, K., Kuligowska, E.,Soszyńska-Budny, J. & Torbicki, M. 2016f. Modelling climate-weather change process including extreme weather hazards for oil piping transportation system. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(2), 31-40.
• Kołowrocki, K. 2004. Reliability of Large Systems. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney – Tokyo.
• Kołowrocki, K.2014.Reliability of Large and Complex Systems.Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
• Kołowrocki, K. 2021. Safety analysis of critical infrastructure impacted by operation and climate-weather changes - theoretical backgrounds. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2021. Gdynia Maritime University, Gdynia, 139-180.
• Kołowrocki, K., Kuligowska, E. & Soszyńska-Budny, J. 2016. Maritime ferry critical infrastructure assets and interconnections. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(1), 105-110.
• Kołowrocki, K. Kuligowska, E. & Torbicki, M. 2017. Tools for Processing Climate Hazards Information. Report in the Scope of EU-CIRCLE Research Project. WP2, Task 2.3, D2.3.
• Kołowrocki, K.& Soszyńska-Budny, J. 2011. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization. Springer, London - Dordrecht - Heidelberg - New York.
• Kołowrocki, K. et al. 2016a.EU-CIRCLE Report D2.3-GMU2. Identification Methods and Procedures of Climate-Weather Change Process Including Extreme Weather Hazards.
• Kołowrocki, K. et al. 2016b.EU-CIRCLE Report D2.1-GMU3.Modelling Climate-Weather Change Process Including Extreme Weather Hazards.
• Kołowrocki, K. et al.2017. EU-CIRCLE Report D3.3-GMU12. Integration of the Integrated Model of Critical Infrastructure Safety (IMCIS) and the Critical Infrastructure Operation Process General Model (CIOPGM) into the General Integrated Model of Critical Infrastructure Safety (GIMCIS) Related to Operating Environment Threads (OET) and Climate-Weather Extreme Hazards (EWH).
• Limnios, N. & Oprisan, G. 2005. Semi-Markov Processes and Reliability. Birkhauser, Boston.
• Limnios, N., Ouhbi, B. & Sadek, A. 2005. Empirical estimator of stationary distribution for semi-Markov processes. Communications in Statistics-Theory and Methods 34, 4, 987-995.
• Macci, C. 2008. Large deviations for empirical estimators of the stationary distribution of a semi-Markov process with finite state space. Communications in Statistics - Theory and Methods 37, 19, 3077-3089.
• Mercier, S. 2008. Numerical bounds for semi-Markovian quantities and application to reliability. Methodology and Computing in Applied Probability 10, 2, 179-198.
• Rice, J.A. 2007. Mathematical Statistics and Data Analysis. Duxbury. Thomson Brooks/Cole. University of California. Berkeley.
• Torbicki, M. 2018. Longtime prediction of climate-weather change influence on critical infrastructure safety and resilience. Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Institute of Electrical and Electronics Engineers, Bangkok, 996-1000.
• Vercellis, S. 2009. Data Mining and Optimization for Decision Making. John Wiley & Sons Ltd.
• Wilson, A.G., Graves, T.L., Hamada, M.S.& Reese C.S.2006.Advances in data combination, analysis and collection for system reliability assessment. Statistical Science 21, 4, 514-531.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).