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MEASUREMENT UNCERTAINTY EVALUATION IN THE DIGITAL ERA


Doi: 10.51346/tstu-conf.22.1-77-0037


Zakharov Igor Petrovich,
Doctor of Technical Sciences, Professor, Head of the Department of "Information and Measurement Technologies" of Kharkiv National University of Radio Electronics
Alexander Alexandrovich Zakharov,
student of Kharkiv National University of Radioelectronics, Faculty of Computer Science, Kharkiv, Ukraine,
Zakharova Evelina Aleksandrovna,
student of Kharkiv National University of Radioelectronics, Faculty of Computer Science, Kharkiv, Ukraine


Abstract: Disadvantages of the traditional approach to measurement uncertainty evaluation are analyzed. An algorithm for measurement uncertainty evaluation based on the Monte Carlo method is described, which makes it possible to eliminate these shortcomings. The results of a comparison of measurement uncertainty estimates obtained by the traditional method and the
Monte Carlo method are presented. The need to revise the “Guide to the Expression of Uncertainty in Measurement” is substantiated and its current state is described.
Keywords: measurement uncertainty, Monte Carlo method, revision of the “Guide to the Expressing of Uncertainty in Measurement”, kurtosis method.



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