Uncertainty evaluation of multivariate quantities: A case study on electrical impedance

dc.contributor.authorRamos, Pedro M.
dc.contributor.authorJaneiro, Fernando M.
dc.contributor.authorGirão, Pedro M.
dc.date.accessioned2017-01-27T15:24:06Z
dc.date.available2017-01-27T15:24:06Z
dc.date.issued2016-01
dc.description.abstractThe paper discusses the evaluation of the uncertainty of a multivariate quantity using the Law of Propagation of Uncertainty defined in the Guide to the Expression of Uncertainty in Measurement (GUM) and a Monte Carlo method according to the GUM’s Supplement 2. The quantity analysed is the electrical impedance, which is not a scalar but a complex quantity. The used measuring method allows the evaluation of the impedance and of its uncertainty in different ways and the corresponding results are presented, compared and discussed. For comparison purposes, results of the impedance uncertainty obtained using the NIST Uncertainty Machine are also presented.por
dc.identifier.authoremailnd
dc.identifier.authoremailfmtj@uevora.pt
dc.identifier.authoremailnd
dc.identifier.doi10.1016/j.measurement.2015.08.043por
dc.identifier.pagina397-411
dc.identifier.revistaMeasurement
dc.identifier.scientificarea496por
dc.identifier.sharewithFISpor
dc.identifier.urihttp://hdl.handle.net/10174/20123
dc.identifier.volume78
dc.language.isoporpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.rightsrestrictedAccesspor
dc.subjectUncertainty evaluationpor
dc.subjectLaw of Propagation of Uncertaintypor
dc.subjectMonte Carlo methodpor
dc.subjectMultivariate measurement modelpor
dc.titleUncertainty evaluation of multivariate quantities: A case study on electrical impedancepor
dc.typearticlepor

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