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dc.contributor.authorXi, Zhimin
dc.contributor.authorJing, Rong
dc.contributor.authorWang, Pingfeng
dc.contributor.authorHu, Chao
dc.date.accessioned2015-10-30T19:34:54Z
dc.date.available2015-10-30T19:34:54Z
dc.date.issued2014
dc.identifier.citationXi, Zhimin; Jing, Rong; Wang, Pingfeng; Hu, Chao. 2014. A Copula-based Sampling Method for Data-driven prognostics and health management. ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Volume 3A: 39th Design Automation Conference Portland, Oregon, USA, August 4–7, 2013en_US
dc.identifier.isbn978-0-7918-5588-1
dc.identifier.otherWOS:000362380000039
dc.identifier.urihttp://dx.doi.org/10.1115/DETC2013-13592
dc.identifier.urihttp://hdl.handle.net/10057/11570
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis paper develops a Copula-based sampling method for data-driven prognostics and health management (PHM). The principal idea is to first build statistical relationship between failure time and the time realizations at specified degradation levels on the basis of off-line training data sets, then identify possible failure times for on-line testing units based on the constructed statistical model and available on-line testing data. Specifically, three technical components are proposed to implement the methodology. First of all, a generic health index system is proposed to represent the health degradation of engineering systems. Next, a Copula-based modeling is proposed to build statistical relationship between failure time and the time realizations at specified degradation levels. Finally, a sampling approach is proposed to estimate the failure time and remaining useful life (RUL) of on-line testing units. Two case studies, including a bearing system in electric cooling fans and a 2008 IEEE PHM challenge problem, are employed to demonstrate the effectiveness of the proposed methodology.en_US
dc.language.isoen_USen_US
dc.publisherAmerican Society of Mechanical Engineersen_US
dc.relation.ispartofseriesASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference;v.3A
dc.subjectPrognostics and health managementen_US
dc.subjectData-drivenen_US
dc.subjectRemaining useful lifeen_US
dc.subjectCopulaen_US
dc.titleA Copula-based Sampling Method for Data-driven prognostics and health managementen_US
dc.typeConference paperen_US
dc.rights.holderCopyright © 2013 by ASMEen_US


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