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Warianty tytułu
Konferencja
14th Summer Safety & Reliability Seminars - SSARS 2020, 26-30 September 2020, Ciechocinek, Poland
Języki publikacji
Abstrakty
The chapter focuses on safety examination of a technical system of a maritime ferry that is the component of a shipping critical infrastructure. The model of the critical infrastructure safety without considering outside impacts is applied to determination of the maritime ferry technical system safety indicators. The operation impact model on critical infrastructure safety is created and applied to safety and resilience analysis of this system. The safety and resilience indicators are determined for this system under the assumption that its components’ safety functions are piecewise exponential. The comparison of the maritime ferry technical system safety indicators without considering outside impacts with indicators considering its operation impact is done.
Słowa kluczowe
Rocznik
Strony
117--133
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
- Gdynia Maritime University, Gdynia, Poland
autor
- Gdynia Maritime University, Gdynia, Poland
Bibliografia
- [1] Gdynia Maritime University Safety Interactive Platform, http://gmu.safety.umg.edu.pl/ (accessed 01 Sept 2020).
- [2] Gouldby, B. P., Schultz, M. T., Simm, J. D. & Wibowo, J. L. 2010. Beyond the Factor of Safety: Developing Fragility Curves to Characterize System Reliability, Report in Water Resources Infrastructure Program ERDC SR-10-1, U.S. Army Corps of Engineers, Washington.
- [3] Grabski, F. 2014. Semi-Markov Processes: Application in System Reliability and Maintenance. Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Sidney - Tokyo.
- [4] Kołowrocki, K. & Kuligowska, E. 2018. Operation and climate-weather change impact on maritime ferry safety. In: Safety and Reliability - Safe Societies in a Changing World, Taylor and Francis, 849-854.
- [5] Kołowrocki, K. & Soszyńska-Budny, J. 2011/2015. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization. Springer, English/Chinese Edition, London, Dordrecht, Heidelberg, New York.
- [6] Kołowrocki, K. & Soszyńska-Budny, J. 2017. An Overall approach to modeling operation threats and extreme weather hazards impact on critical infrastructure safety, Proceedings of 27th ESREL Conference, Portorož.
- [7] Kołowrocki, K. & Soszyńska-Budny, J. 2018. Critical infrastructure impacted by operation safety and resilience indicators, Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Institute of Electrical and Electronics Engineers, Bangkok.
- [8] Kołowrocki, K. & Soszyńska-Budny, J. 2018. Critical Infrastructure Safety Indicators, Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Institute of Electrical and Electronics Engineers, Bangkok.
- [9] Kołowrocki, K. & Soszyńska-Budny, J. 2019. Safety indicators of critical infrastructure application to port oil terminal examination, Proceedings of 29th ISOPE Conference, Honolulu.
- [10] Lauge, A. Hernantes, J. & Sarriegi, J. M. 2015. Critical infrastructure dependencies: a holistic, dynamic and quantitative approach. International Journal of Critical Infrastructure Protection 8, 16-23.
- [11] Szymkowiak, M. 2018. Characterizations of distributions through aging intensity. IEEE Transactions on Reliability 67(2), 446-458.
- [12] Szymkowiak, M. 2018. Generalized aging intensity functions. Reliability Engineering and System Safety 178(C), 198-208.
- [13] Szymkowiak, M. 2019. Lifetime Analysis by Aging Intensity Functions. Monograph in series: Studies in Systems, Decision and Control (196), Springer International Publishing.
- [14] Xue, J. 1985. On multi-state system analysis. IEEE Transactions on Reliability 34, 329-337.
- [15] Xue, J & Yang, K. 1985. Dynamic reliability analysis of coherent multi-state systems. IEEE Transactions on Reliability 4(44), 683-688.
- [16] Xue, J. & Yang, K. 1995. Symmetric relations in multi-state systems. IEEE Transactions on Reliability 4(44), 689-693.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3a89b661-2d7d-4c1d-942a-41cf8591ddf4