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The derivative as a probabilistic synthesis of past and future data and remaining useful life prediction

dc.contributor.authorDamasceno, Berenice Camargo [UNESP]
dc.contributor.authorBarbanti, Luciano [UNESP]
dc.contributor.authorKuzminskas, Hadamez [UNESP]
dc.contributor.authorBazani, Márcio Antonio [UNESP]
dc.contributor.editorStephen Ekwaro-Osire, Aparecido Carlos Gonçalves, Fisseha M. Alemayehu
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:34:51Z
dc.date.available2018-12-11T17:34:51Z
dc.date.issued2017-04-25
dc.description.abstractThe concept of remaining useful life (RUL) is crucial when dealing with mechanical systems. RUL is taken into account in a system through a series of prognostics and the study of stability in a related data series. This paper is focused on a powerful optimal technique in prognosis coming from the Grünwald-Letnikov definition of derivative.en
dc.description.affiliationDepartment of Mathematics São Paulo State University (UNESP)
dc.description.affiliationDepartment of Electrical Engineering São Paulo State University (UNESP)
dc.description.affiliationDepartment of Mechanical Engineering São Paulo State University (UNESP)
dc.description.affiliationUnespDepartment of Mathematics São Paulo State University (UNESP)
dc.description.affiliationUnespDepartment of Electrical Engineering São Paulo State University (UNESP)
dc.description.affiliationUnespDepartment of Mechanical Engineering São Paulo State University (UNESP)
dc.format.extent195-199
dc.identifierhttp://dx.doi.org/10.1007/978-3-319-55852-3_12
dc.identifier.citationProbabilistic Prognostics and Health Management of Energy Systems, p. 195-199.
dc.identifier.dimensionspub.1085074526
dc.identifier.doi10.1007/978-3-319-55852-3_12
dc.identifier.isbn978-3-319-55851-6
dc.identifier.isbn978-3-319-55852-3
dc.identifier.lattes3493052819658191
dc.identifier.lattes1234817546210419
dc.identifier.orcid0000-0002-9792-6752
dc.identifier.orcid0000-0002-3746-3661
dc.identifier.scopus2-s2.0-85033723743
dc.identifier.urihttp://hdl.handle.net/11449/179357
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofProbabilistic Prognostics and Health Management of Energy Systems
dc.rights.accessRightsAcesso restritopt
dc.sourceScopus
dc.sourceDimensions
dc.subjectForecasting
dc.subjectGrünwald-Letnikov derivative
dc.subjectProbability
dc.titleThe derivative as a probabilistic synthesis of past and future data and remaining useful life predictionen
dc.typeCapítulo de livropt
dspace.entity.typePublication
unesp.author.lattes3493052819658191
unesp.author.lattes1234817546210419[4]
unesp.author.lattes85444754668629911[1]
unesp.author.orcid0000-0002-3746-3661[1]
unesp.departmentEngenharia Mecânica - FEISpt
unesp.departmentMatemática - FEISpt

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