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dc.contributor.authorCai, Baoping
dc.contributor.authorXie, Min
dc.contributor.authorLiu, Yonghong
dc.contributor.authorLiu, Yiliu
dc.contributor.authorFeng, Qiang
dc.date.accessioned2018-08-27T13:35:51Z
dc.date.available2018-08-27T13:35:51Z
dc.date.created2018-08-15T13:23:09Z
dc.date.issued2018
dc.identifier.citationReliability Engineering & System Safety. 2018, 172 216-224.nb_NO
dc.identifier.issn0951-8320
dc.identifier.urihttp://hdl.handle.net/11250/2559460
dc.description.abstractSeveral resilience metrics have been proposed for engineering systems (e.g., mechanical engineering, civil engineering, critical infrastructure, etc.); however, they are different from one another. Their difference is determined by the performances of the objects of evaluation. This study proposes a new availability-based engineering resilience metric from the perspective of reliability engineering. Resilience is considered an intrinsic ability and an inherent attribute of an engineering system. Engineering system structure and maintenance resources are principal factors that affect resilience, which are integrated into the engineering resilience metric. A corresponding dynamic-Bayesian-network-based evaluation methodology is developed on the basis of the proposed resilience metric. The resilience value of an engineering system can be predicted using the proposed methodology, which provides an implementation guidance for engineering planning, design, operation, construction, and management. Some examples for common systems (i.e., series, parallel, and voting systems) and an actual application example (i.e., a nine-bus power grid system) are used to demonstrate the application of the proposed resilience metric and its corresponding evaluation methodology.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleAvailability-based engineering resilience metric and its corresponding evaluation methodologynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber216-224nb_NO
dc.source.volume172nb_NO
dc.source.journalReliability Engineering & System Safetynb_NO
dc.identifier.doi10.1016/j.ress.2017.12.021
dc.identifier.cristin1602204
dc.description.localcode© 2017. This is the authors’ accepted and refereed manuscript to the article. Locked until 28.12.2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal