Smith, Ian; Luo, Y; Hutzschenreuter, D (2022) The storage within digital calibration certificates of uncertainty information obtained using a Monte Carlo method. Metrology, 2 (1). pp. 33-45.

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Abstract

In recent years, many aspects of metrology have undergone significant digital transformation. To date, however, the area of calibration has seen limited change. Some organisations have shifted from providing paper-based certificates to delivering certificates in electronic form, but the latter still require manual effort to make use of the measurement data therein. Recent initiatives have focused on the development of a framework for calibration certificates that captures all required information in an electronic form that is machine-readable and therefore renders that information more easily useable. This paper describes how the framework for so-called ‘digital calibration certificates’ not only allows uncertainty information to be encapsulated but provides additional benefits in allowing more uncertainty information to be stored than is currently practical in conventional calibration certificates.

Item Type:	Article
Keywords:	digital calibration certificate; DCC; machine-readable; data communication; uncertainty; Monte Carlo method; MCM
Subjects:	Mathematics and Scientific Computing > Measurement Uncertainties
Divisions:	Data Science
Identification number/DOI:	10.3390/metrology2010003
Last Modified:	02 Oct 2023 13:50
URI:	https://eprintspublications.npl.co.uk/id/eprint/9842