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