文章基本信息

标题：Sensitivity analysis associated with the evaluation of measurement uncertainty: application to a computational code in metrology
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作者：Alexandre ALLARD ; Alexandre ALLARD ; Nicolas FISCHER 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2010
卷号：2
期号：6
页码：7597-7598
DOI：10.1016/j.sbspro.2010.05.135
语种：English
出版社：Elsevier
摘要：AbstractIn metrology, Monte-Carlo Methods are used to evaluate the measurement uncertainty whereas metrologists were used to apply a Taylor series approximation and to perform a local sensitivity analysis with the partial derivatives. With a Monte-Carlo method, a global sensitivity approach is considered. The application is a computational code for the propagation of a primary fire source in a room. It consists in the evaluation of measurement uncertainty in a security context, surrounded by a strong regulation. The set of input quantities to consider has been determined by a previous Morris's design. Other sensitivity analysis techniques, such as the SRRC, the Local Polynomial Smoothers (or the FAST), not yet considered in metrology, are used to prioritize the influent input quantities.
关键词：SRRC;Local Polynomial Sensitivity Indices;Measurement uncertainty;Monte Carlo Method