Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/74434
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | - |
dc.creator | Cai, B | - |
dc.creator | Xie, M | - |
dc.creator | Liu, Y | - |
dc.creator | Liu, Y | - |
dc.creator | Ji, R | - |
dc.creator | Feng, Q | - |
dc.date.accessioned | 2018-03-29T07:16:48Z | - |
dc.date.available | 2018-03-29T07:16:48Z | - |
dc.identifier.isbn | 9780735415683 | en_US |
dc.identifier.issn | 0094-243X | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/74434 | - |
dc.description | 2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017, 27 - 29 October 2017 | en_US |
dc.language.iso | en | en_US |
dc.publisher | American Institute of Physics | en_US |
dc.rights | © 2017 Author(s). | en_US |
dc.rights | This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in B. Cai et al., AIP Conference Proceedings 1890, 40043 (2017) and may be found at https://dx.doi.org/10.1063/1.5005245 | en_US |
dc.title | A novel critical infrastructure resilience assessment approach using dynamic Bayesian networks | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 2 | en_US |
dc.identifier.volume | 1890 | en_US |
dc.identifier.doi | 10.1063/1.5005245 | en_US |
dcterms.abstract | The word resilience originally originates from the Latin word ""resiliere"", which means to ""bounce back"". The concept has been used in various fields, such as ecology, economics, psychology, and society, with different definitions. In the field of critical infrastructure, although some resilience metrics are proposed, they are totally different from each other, which are determined by the performances of the objects of evaluation. Here we bridge the gap by developing a universal critical infrastructure resilience metric from the perspective of reliability engineering. A dynamic Bayesian networks-based assessment approach is proposed to calculate the resilience value. A series, parallel and voting system is used to demonstrate the application of the developed resilience metric and assessment approach. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | AIP conference proceedings, 2017, v. 1890, no. , 40043, p. 040043-1-040043-5 | - |
dcterms.isPartOf | AIP conference proceedings | - |
dcterms.issued | 2017 | - |
dc.identifier.scopus | 2-s2.0-85031101440 | - |
dc.relation.conference | International Conference on Materials Science, Resource and Environmental Engineering [MSREE] | - |
dc.identifier.eissn | 1551-7616 | en_US |
dc.identifier.artn | 040043 | en_US |
dc.description.validate | 201802 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Cai_Critical_Infrastructure_Resilience.pdf | 544.38 kB | Adobe PDF | View/Open |
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