Articles | Volume 6, issue 1
J. Sens. Sens. Syst., 6, 97–105, 2017
https://doi.org/10.5194/jsss-6-97-2017

Special issue: Sensors and Measurement Systems 2016

J. Sens. Sens. Syst., 6, 97–105, 2017
https://doi.org/10.5194/jsss-6-97-2017

Regular research article 14 Feb 2017

Regular research article | 14 Feb 2017

Evaluation of dynamic measurement uncertainty – an open-source software package to bridge theory and practice

Sascha Eichstädt et al.

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Cited articles

BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, and OIML: Evaluation of measurement data: Guide to the Expression of Uncertainty in Measurement, Joint Committee for Guides in Metrology, JCGM 100, 2008a.
BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, and OIML: Evaluation of measurement data – Supplement 1 to the “1Guide to the Expression of Uncertainty in Measurement” – Propagation of distributions using a Monte Carlo method, Joint Committee to Guides in Metrology, JCGM 101, 2008b.
BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, and OIML: Evaluation of measurement data: Supplement 2 to the “Guide to the expression of uncertainty in measurement” – Extension to any number of output quantities, Joint Committee for Guides in Metrology, JCGM 102, 2011.
CIE TC2-60:2013: Effect of Instrumental Bandpass Function and Measurement Interval on Spectral Quantities, Guideline, International Commission on Illumination, 2013.
Dienstfrey, A. and Hale, P. D.: Analysis for dynamic metrology, Meas. Sci. Technol., 25, 1–12, 2014.
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Short summary
The challenges in the analysis of dynamic measurements significantly limit the use of existing calibration facilities and mathematical methodologies. Several international research projects have developed methodologies for the treatment of dynamic measurements at the NMI level. The transfer to industry, though, remains challenging. Therefore, this work provides a link from these activities to industrial end-users by means of the new versatile and comprehensive software package PyDynamic.