PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Optimization of critical infrastructure operation and safety with considering climate-weather change influence : maximizing safety lifetime

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The method based on the results of the joint model linking a semi-Markov modelling of the critical infrastructure operation process with a multistate approach to critical infrastructure safety and linear programming are proposed to the critical infrastructure operation and safety optimization. This method determining the optimal values of limit transient probabilities at the critical infrastructure operation states that maximize the critical infrastructure safety lifetime in the safety state subsets is proposed.
Rocznik
Strony
1--10
Opis fizyczny
Bibliogr. 44 poz.
Twórcy
  • Gdynia Maritime University, Gdynia, Poland
  • Gdynia Maritime University, Gdynia, Poland
  • Gdynia 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. Blokus-Roszkowska A., Kolowrocki K. Modeling safety of interconnected critical infrastructure network cascading. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminnars, Vol 8, No 3, 97-114, 2017
  • 3. Caldwell H., Quinn K.H., Meunier J., Suhrbier J., Grenzeback L., Potential impacts of climate change on freight transport. In: U.S. DOT, 2002. The Potential Impacts of Climate Change on Transportation, Summary and Discussion Papers. U.S. Department of Transportation, 2002
  • 4. Collet J., Some remarks on rare-event approximation. IEEE Transactions on Reliability 45, 106-108, 1996
  • 5. EU-CIRCLE Report D1.1, EU-CIRCLE Taxonomy, 2015
  • 6. EU-CIRCLE Report D3.3, Integrated Model of Critical Infrastructure Safety (IMCIS) Related to Its Operation Process - IMCIS Model 1, 2016
  • 7. HELCOM, ensuring safe shipping in the Baltic, Helsinki Commission (HELCOM) - Baltic Marine Environment Protection Commission, 2009
  • 8. 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
  • 9. 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
  • 10. Grabski F., (2002) Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science, 2002 (in Polish)
  • 11. Guze S., Kołowrocki K.: Modelling Operation Process of Baltic Port, Shipping and Ship Traffic and Operation Information Critical Infrastructure Network. TransNav 2016, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 10, No. 2, pp. 275-284, 2016
  • 12. Guze S., Kołowrocki K., Safety Modeling of Port, Shipping and Ship Traffic and Port Operation Information Critical Infrastructure Join Network related to Its Operation Process, ESREL 2017, 2017 (submitted)
  • 13. Hryniewicz O., Lifetime tests for imprecise data and fuzzy reliability requirements. Reliability and Safety Analyses under Fuzziness. Onisawa T. and Kacprzyk J., Eds., Physica Verlag, Heidelberg, 169-182, 1995
  • 14. Klabjan D., Adelman D., Existence of optimal policies for semi-Markov decision processes using duality for infinite linear programming. Siam Journal on Control and Optimization, Vol. 44, No. 6, 2104-2122, 2006
  • 15. Kołowrocki K., Reliability of Large and Complex Systems, Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier, 2014a
  • 16. Kołowrocki K., Safety of critical infrastructures - An overall approach, Keynote Speech. International Conference on Safety and Reliability - KONBiN 2013
  • 17. Kołowrocli K., et al., EU-CIRCLE Report WP3-Task3.4 & Task3.5-D3.3-Part3, Critical Infrastructure Safety and Resilience Indicators, 2017
  • 18. 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
  • 19. 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, 2009a
  • 20. 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, 2009b
  • 21. 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
  • 22. 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
  • 23. 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, 2012c
  • 24. Kołowrocki K., Soszyńska-Budny J., Prediction of Critical Infrastructures Safety. Proc. 10th International Conference on Digital Technologies - DT 2014, Zilina, Slovakia, 141-149, 2014b
  • 25. 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
  • 26. Kolowrocki K., Soszynska-Budny J., Modeling safety of multistate ageing systems. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminnars, Vol 8, No 3, 9-22, 2017
  • 27. Kuo W., Prasad V. R., An annotated overview of system-reliability optimization. IEEE Transactions on Reliability, 49(2), 176-187, 2000
  • 28. Kuo W., Zuo M. J., Optimal Reliability Modeling: Principles and Applications. Hoboken: John Wiley & Sons, Inc., 2003
  • 29. Lauge A., Hernantes J., Sarrieri J.M., Critical infrastructure dependences: A holistic, dynamic and quantita approach. Int J Crit Infrastruct Prot, Vol 8, 16-23,2015
  • 30. Levitin G., Lisnianski A., Optimisation of imperfect preventive maintenance for multistate systems. Reliability Engineering and System Safety 67, 193-203, 2000
  • 31. Levitin G., Lisnianski A., Optimal replacement scheduling in multi-state series-parallel systems. Quality and Reliability Engineering International 16, 157-162, 2000
  • 32. Lisnianski A., Levitin G., Multi-State System Reliability. Assessment, Optimisation and Applications. World Scientific Publishing Co. Pte. Ltd, 2003
  • 33. Limnios N., Oprisan G., Semi-Markov Processes and Reliability. Birkhauser, Boston, 2005
  • 34. 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
  • 35. Merrick J. R. W., van Dorp R., Speaking the truth in maritime risk assessment. Risk Analysis, Vol. 26, No. 1, 223-237, 2006
  • 36. 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
  • 37. 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
  • 38. Rice J. A., Mathematical statistics and data analysis. Duxbury. Thomson Brooks/Cole. University of California. Berkeley, 2007
  • 39. Tang H., Yin B. Q., Xi H. S., Error bounds of optimization algorithms for semi-Markov decision processes. International Journal of Systems Science, Vol. 38, No. 9, 725-736, 2007
  • 40. Suich R.C., Patterson R.L., k-out-of-n:G system: Some cost considerations. IEEE Transactions on Reliability, 40(3), 259-264, 1991
  • 41. Vercellis S., Data mining and optimization for decision making. John Wiley & Sons Ltd, 2009
  • 42. Xue J., On multi-state system analysis, IEEE Transaction on Reliability, 34, 329-337, 1985
  • 43. Xue J., Yang K., Dynamic reliability analysis of coherent multi-stste systems, IEEE Transaction on Reliability, 4(44), 683-688, 1995
  • 44. Zio E., An introduction to the basics of reliability and risk analysis. World Scientific Publishing Co. Pte. Ltd, 2006
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c8f2799e-d605-4e91-af6e-87da7f5f9a7c
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.