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Safety of critical infrastructures

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a general approach to safety analysis of critical infrastructures that aims to suggest new and to develop existing methods and tools capable of supporting intelligent modeling and decision making in controlling and optimizing the safety of those systems and their accidents consequences risk. Its main focus is on the suggestions of the creation and usage of new techniques, procedures and strategies to improve and to optimize safety of real complex infrastructure systems related to the inside dependencies – among their subsystems and components and the outside dependencies – coming from their operation environment and from other dangerous events and natural hazards. The approach tries to create an original and coherent methodology of safety of critical infrastructures useful in ensuring and improving safety of those systems in various industrial sectors by providing an integrated package of solutions consisting of various packages of theoretical and practical tools ready for direct use by safety theoreticians and practitioners dealing with safety of real critical infrastructures.
Rocznik
Strony
51--72
Opis fizyczny
Bibliogr. 32 poz., rys., wykr.
Twórcy
  • Maritime University, Gdynia, Poland
Bibliografia
  • [1] Bogalecka, M. (2014). Risk Analysis of Chemical Spills at Sea. Monograph, (in preparation).
  • [2] Ferreira, F. & Pacheco, A. (2007). Comparison of level-crossing times for Markov and semiMarkov processes. Stat & Probab Lett 77(2), 151-157.
  • [3] Glynn, P.W. & Haas, P.J. (2006). Laws of large numbers and functional central limit theorems for generalized semi-Markov processes. Stoch Model 22(2), 201-231.
  • [4] Grabski, F. (2002). Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science, (in Polish).
  • [5] Grabski, F. & Jaźwiński, J. (2009). Funkcje o losowych argumentach w zagadnieniach niezawodności, bezpieczeństwa i logistyki. Wydawnictwa Komunikacji i Łączności.
  • [6] Kołowrocki, K (2004). Reliability of Large Systems, Elsevier.
  • [7] Kołowrocki, K. (2008). Reliability of Large Systems. Encyclopedia of Quantitative Risk Analysis and Assessment. John Wiley & Sons, Vol. 4, 1466-1471.
  • [8] Kołowrocki, K. (2011). Reliability modeling of complex systems. Chapter I, 3-54, in Pham H. Eds. Safety and Risk Modeling and Its Applications, Springer.
  • [9] Kołowrocki, K. (2014). On safety of critical infrastructures modeling with application to port oil transportation system. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 4,
  • [10] Kołowrocki, K. (2014). Safety of Critical Infrastructures. Monograph, (in preparation).
  • [11] Kołowrocki K., Kuligowska E. & SoszyńskaBudny J. (2014). Integrated Critical Infrastructures Safety System. Guide-book, 2014 (in preparation).
  • [12] Kołowrocki, K. & Kwiatuszewska-Sarnecka, B. (2008). Reliability and risk analysis of large systems with ageing components. Reliability Engineering and System Safety, 93, 1821-1829.
  • [13] Kołowrocki K. & Soszyńska, J. (2006). Reliability and availability of complex systems. Quality and Reliability Engineering International. Vol. 22, Issue 1, J. Wiley & Sons Ltd., 79-99.
  • [14] Kołowrocki, K. & Soszyńska, J. (2010). Reliability modeling of a port oil transportation system’s operation processes. International Journal of Performability Engineering, Vol. 6, No 1, 77-87.
  • [15] Kołowrocki, K. & Soszyńska, J. (2011). On safety analysis of complex maritime transportation system. Journal of Risk and Reliability, Vol. 225, Issue 3, 247-254.
  • [16] Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes: Modeling – Identification – Prediction – Optimization. Springer.
  • [17] Kołowrocki, K. & Soszyńska-Budny, J. (2012). Introduction to safety analysis of critical infrastructures. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 3, No 1, pp 73-88.
  • [18] Kuligowska, E. (2012). Preliminary Monte Carlo approach to complex system reliability analysis. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 3, 59-71.
  • [19] Kuligowska, E. (2013). Monte Carlo simulation for reliability assessment and optimization of an object subjected to varying operation conditions. Preliminary Monte Carlo approach to complex system reliability analysis. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 4, 205-218.
  • [20] Limnios, N. & Oprisan, G. (2005). Semi-Markov Processes and Reliability. Birkhauser, Boston.
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  • [23] Pradhan, S. & Hansen, A. (2005). Failure properties of fiber bundle model having lower cutoff in fiber threshold distribution. Phys. Rev. E. 72, 026111.
  • [24] Soszyńska, J. (2007). Systems reliability analysis in variable operation conditions. International Journal of Reliability, Quality and Safety Engineering. Special Issue: System Reliability and Safety, Vol. 14, No 6, 617-634.
  • [25] Soszyńska, J. (2010). Reliability and risk evaluation of a port oil pipeline transportation system in variable operation conditions. International Journal of Pressure Vessels and Piping Vol. 87, No 2-3, 81-87.
  • [26] Soszyńska-Budny J. (2014). Safety of Complex Technical Systems. Monograph, (in preparation).
  • [27] Sun, Z-L, Ming, Ng K., Soszyńska-Budny, J. & Habibullah, M.S. (2011). Application of the LPELM model on transportation system lifetime optimization. IEEE Transactions on Intelligent Transportation Systems, Vol.12, Issue 4, 2011, 1484-1494.
  • [28] Xue, J. (1985). On multi-state system analysis. IEEE Trans on Reliab. 34, 329-337.
  • [29] Xue, J. & Yang, K. (1995). Dynamic reliability analysis of coherent multi-state systems. IEEE Trans on Reliab. 4(44), 683-688.
  • [30] Xue, J. & Yang, K. (1995). Symmetric relations in multi-state systems. IEEE Trans on Reliab 4(44), 689-693.
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  • [32] Zio, E. & Marseguerra, M. (2002). Basics of the Monte Carlo Method with Application to System Reliability. LiLoLe, ISBN 3-934447-06-6.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-03ce9afc-e2e8-42f1-9952-1b16775fee82
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