Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/20123

Title: Uncertainty evaluation of multivariate quantities: A case study on electrical impedance
Authors: Ramos, Pedro M.
Janeiro, Fernando M.
Girão, Pedro M.
Keywords: Uncertainty evaluation
Law of Propagation of Uncertainty
Monte Carlo method
Multivariate measurement model
Issue Date: Jan-2016
Publisher: Elsevier
Abstract: The 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.
URI: http://hdl.handle.net/10174/20123
Type: article
Appears in Collections:FIS - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
CEM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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