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dc.contributor.authorPaltrinieri, Nicola
dc.date.accessioned2019-05-14T11:56:46Z
dc.date.available2019-05-14T11:56:46Z
dc.date.created2018-12-21T12:11:50Z
dc.date.issued2018
dc.identifier.isbn978-92-79-98156-2
dc.identifier.urihttp://hdl.handle.net/11250/2597577
dc.description.abstractRisk analysis is about to enter an era of larger and more complex data sets (big data), where the main challenges are represented by the ability to provide continuous acquisition, effective process and meaningful communication of information. However, most of the methods for quantitative risk assessment allow for static evaluations of risk in a frozen instant of the system life. Research on how to dynamically assess risk in process industry has been carried out, but no real implementation has been attempted. Some open questions are still undermining this approach and should be directly addressed to provide reliable models and exploit new technology opportunities. i) Which strategy should be adopted? ii) How early warnings and past events should be assessed and connected to the overall risk? This contribution aims to give an overview on preliminary answers and highlight possible uncertainties of future developments.nb_NO
dc.language.isoengnb_NO
dc.publisherPublications Office of the European Union Luxembourgnb_NO
dc.relation.ispartofEnhancing Safety: the Challenge of: Proceedings of the 53rd ESReDA Seminar hosted by the European Commission Joint Research Centre
dc.titleForesight in process industry through dynamic risk assessment: implications and open questionsnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber125-136nb_NO
dc.identifier.doi10.2760/713354
dc.identifier.cristin1646704
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2018 by Publications Office of the European Union Luxembourgnb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.fulltextpostprint


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