Modern methods for uncertainty evaluation in measurement

PhD study program: Measurement Technology
Akademic year: 2020-2021
Advisor: Assoc. prof. RNDr. Viktor Witkovský, PhD. (witkovsky@savba.sk)
External educational institution: Institute of Measurement Science SAS
Accepting university: Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Institute of Electrical Engineering

Annotation:
Analysis of uncertainty in measurement is a fundamental task of metrology and measurement science. Evaluating the uncertainties in measurements, as recommended by the ISO GUM (Evaluation of measurement data – Guide to the expression of uncertainty in measurement) and its amendments (Supplement 1 and 2, Propagation of distributions using a Monte Carlo method), leads to the problem of determining the probability distribution of function of independent random variables. The dissertation will be aimed at the development of new methods and algorithms suitable expression and calculation of uncertainties in measurement, with an emphasis on Monte Carlo methods and methods based on numerical inversion of the characteristic function of the associated probability distribution. Another objective is to apply these advanced methods and algorithms for comparative calibration of the measurement devices and uncertainty analysis of measurements, in the theory of reliability and in metrology. Precondition for a successful solution of the PhD thesis is basic knowledge of metrology, probability and statistics, and programming skills in Matlab.

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