Security Management of Process Plants by a Bayesian Network Methodology

Autor: Alessio Misuri, Nima Khakzad, Genserik Reniers, Valerio Cozzani

Publikováno v: Chemical Engineering Transactions, Vol 67 (2018)

Before the tragedy of 9/11, the perception of risk in process plants was mainly focused on accidental events caused by technical failures, human errors or natural events. However, since then, the risk of deliberate actions against process facilities

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0429b731793917bade6a12bbff3d27df
https://www.cetjournal.it/index.php/cet/article/view/8928

A Bayesian network methodology for optimal security management of critical infrastructures

Autor: Alessio Misuri, Nima Khakzad, Genserik Reniers, Valerio Cozzani

Publikováno v: Reliability engineering and system safety

Security management of critical infrastructures is a complex task as a great variety of technical and socio-political information is needed to realistically predict the risk of intentional malevolent acts. In the present study, a methodology based on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a6c560de70096830e98627781080a4c
https://doi.org/10.1016/j.ress.2018.03.028

Markov Limid processes for representing and solving renewal problems

Autor: Anders Ringgaard Kristensen, Erik Jørgensen, Dennis Nilsson

Publikováno v: Jørgensen, E, Kristensen, A R & Nilsson, D 2014, ' Markov Limid processes for representing and solving renewal problems ', Annals of Operations Research, vol. 219, no. 1, pp. 63-84 . https://doi.org/10.1007/s10479-012-1220-4

In this paper a new tool for simultaneous optimisation of decisions on multiple time scales is presented. The tool combines the dynamic properties of Markov decision processes with the flexible and compact state space representation of LImited Memory

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f8ab004638432bd7b5779299edb4526
https://pure.au.dk/portal/da/publications/markov-limid-processes-for-representing-and-solving-renewal-problems(bdc51456-71fa-4b0b-96f9-9b0866c2b8d7).html

Risk-Based Operation and Maintenance of Offshore Wind Turbines using Bayesian Networks

Autor: Nielsen, Jannie Jessen, Sørensen, John Dalsgaard

Publikováno v: Nielsen, J J & Sørensen, J D 2011, Risk-Based Operation and Maintenance of Offshore Wind Turbines using Bayesian Networks . in M H Faber, K Jochen & K Nishijima (eds), ICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering : Zurich, Switzerland, 1-4 August 2011 . CRC Press, pp. 311-317, The 11th International Conference on Applications of Statistics and Probability in Civil Engineering, Zürich, Switzerland, 01/08/2011 .

For offshore wind farms, the costs due to operation and maintenance are large, and more optimal planning has the potential of reducing these costs. This paper presents how Bayesian networks can be used for risk-based inspection planning, where the in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::79d023bb3946d3f01c5a5ed9b8f98c32
https://vbn.aau.dk/da/publications/cb991940-85d1-4ddb-b09f-58c7aa8257b2

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.