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Reliability assessment of a continuous-state fuel cell stack system with multiple degrading components

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dc.contributor.authorYuan, Tao-
dc.contributor.authorWu, Xinying-
dc.contributor.authorBae, Suk Joo-
dc.contributor.authorZhu, Xiaoyan-
dc.date.accessioned2022-07-09T07:33:23Z-
dc.date.available2022-07-09T07:33:23Z-
dc.date.created2021-05-12-
dc.date.issued2019-09-
dc.identifier.issn0951-8320-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/147180-
dc.description.abstractA polymer electrolyte membrane fuel cell (PEMFC) stack is a multi-component system composed of continuously degrading fuel cells. The voltage degradation of the fuel cells causes the degradation of the stack system, which has two system-level degradation measures; the overall stack output voltage and the minimum voltage of individual cells. This paper develops a hierarchical Bayesian modeling and data analysis method to predict the reliability of a PEMFC stack system using the voltage degradation data collected from its fuel cell components. We introduce a two-term exponential model to describe the nonlinear voltage degradation paths of the fuel cell components, then builds a hierarchical Bayesian degradation model to predict the stack system reliability by taking a k-out-of-m:F system into account. Possible alternative modeling approaches are discussed with an in-depth comparison. This paper will contribute to the modeling and data analysis methods for continuous-state systems composed of continuous-state components.-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER SCI LTD-
dc.titleReliability assessment of a continuous-state fuel cell stack system with multiple degrading components-
dc.typeArticle-
dc.contributor.affiliatedAuthorBae, Suk Joo-
dc.identifier.doi10.1016/j.ress.2019.04.021-
dc.identifier.scopusid2-s2.0-85064442792-
dc.identifier.wosid000474493000013-
dc.identifier.bibliographicCitationRELIABILITY ENGINEERING & SYSTEM SAFETY, v.189, pp.157 - 164-
dc.relation.isPartOfRELIABILITY ENGINEERING & SYSTEM SAFETY-
dc.citation.titleRELIABILITY ENGINEERING & SYSTEM SAFETY-
dc.citation.volume189-
dc.citation.startPage157-
dc.citation.endPage164-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordPlusCHANGE-POINT-
dc.subject.keywordPlusDEGRADATION-
dc.subject.keywordPlusPREDICTION-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthorContinuous-state systems-
dc.subject.keywordAuthorDegradation analysis-
dc.subject.keywordAuthorFailure-time distribution-
dc.subject.keywordAuthorGibbs sampling-
dc.subject.keywordAuthorHierarchical Bayesian modeling-
dc.subject.keywordAuthork-out-of-m:Fsystem-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0951832018311992?via%3Dihub-
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