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dc.contributor.authorEmefon Ekerette, Dan
dc.contributor.authorLiu, Yiliu
dc.date.accessioned2023-02-21T08:27:27Z
dc.date.available2023-02-21T08:27:27Z
dc.date.created2023-01-02T08:45:28Z
dc.date.issued2022
dc.identifier.isbn978-981-18-5183-4
dc.identifier.urihttps://hdl.handle.net/11250/3052557
dc.description.abstractEngineering systems are subject to degradation due to operational conditions and usage. The systems are also subject to random external shocks that are capable of causing abrupt failures. To maintain desired system performance and enhance reliability and availability, the systems are often equipped with redundant components. Different redundancy strategies are often employed including active and passive redundancy. Choice of strategies is dependent on the operational context and desired performance. In this paper, we analyse the performance of different redundancy strategies considering component degradation and random external shocks. The piecewise deterministic Markov process is used to model the system and compared with Monte Carlo simulation to approximate system unavailability considering different frequencies of random external shocks.en_US
dc.language.isoengen_US
dc.publisherResearch Publishing Servicesen_US
dc.relation.ispartofProceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) 28th August – 1st September 2022, Dublin, Ireland
dc.titlePerformance Assessment of Redundancy Strategies of Systems Subject to External Shocksen_US
dc.title.alternativePerformance Assessment of Redundancy Strategies of Systems Subject to External Shocksen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.rights.holder©2022 ESREL2022 Organizersen_US
dc.source.pagenumber1647-1654en_US
dc.identifier.cristin2098525
cristin.ispublishedtrue
cristin.fulltextoriginal


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