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

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• 作者：Pedro M. Ramos^a ; ^{pedro.m.ramos@tecnico.ulisboa.pt" class="auth_mail" title="E-mail the corresponding author} ; Fernando M. Janeiro^b ; ^{fmtj@uevora.pt" class="auth_mail" title="E-mail the corresponding author} ; Pedro S. Girã ; o^a ; ^{psgirao@tecnico.ulisboa.pt" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Uncertainty evaluation ; Law of Propagation of Uncertainty ; Monte Carlo method ; Multivariate measurement model
• 刊名：Measurement
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：78
• 期：Complete
• 页码：397-411
• 全文大小：1709 K

文摘

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.