Кафедра вищої математики (ВМ)
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Перегляд Кафедра вищої математики (ВМ) за автором "Botsiura, O. A."
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Публікація Examples of the expanded uncertainty evaluation based on the kurtosis method(2022) Zakharov, I. P.; Botsiura, O. A.Examples of the expanded uncertainty evaluation based on the kurtosis methodПублікація Main stages of calibration of measuring instruments(2023) Zakharov, I. P.; Botsiura, O. A.; Zakharov, O. I.; Zadorozhnaya, I. M.; Semenikhin, V. S.; Novoselov, O. A.The main stages of calibration of measuring instruments are described. The stage of preparation for calibration and its main steps are considered: setting a measurement task, choosing a method and equipment, choosing (developing) calibration methods and their verification (validation). The content of the measurement experiment is presented together with the main measurement methods that can be used to calibrate the indications of measuring instruments and material measures. The main steps of experimental data processing, which lead to the estimation of the numerical value and uncertainty evaluation of the measurand being calibrated, are considered. The preparation of calibration results, including the uncertainty budget and calibration certificate, is described. Procedures for assessing the probability of compliance of a calibrated measuring instrument and material measure with the specified metrological characteristics, as well as for validating their calibration methods, are considered.Публікація Peculiarities of measurement results processing when calibrating hygrometers(2023) Zakharov, I .P.; Banev, K. I.; Nicolova, E. G.; Diakov, D.; Botsiura, O. A.; Zakharov, O. I.Peculiarities of measurement results processing when calibrating hygrometersПублікація Study of approaches to determining the required number of multiple observations(Ukrainian Metrological Journal, 2022) Zakharov, I. P.; Botsiura, O. A.; Neyezhmakov, P. I.The necessity to determine the minimum number of observations when developing a measurement procedure in accredited test and calibration laboratories is discussed. The methods of evaluating the number of observations when evaluating the expanded measurement uncertainty using the GUM method, the Monte Carlo method, and based on the Law of the expanded uncertainty propagation are considered. In the first case, a nomogram is constructed that allows determining the minimum required number of multiple observations based on the given values of the expanded measurement uncertainty for a probability of 0.9545, the standard deviation of the scattering of the indications of a measuring instrument and the normally propagated standard instrumental uncertainty of type B. In the case of calculating the measurement uncertainty based on the Monte-Carlo method, a normal law and the Student’s law of propagation with given characteristics was modelled, and on its basis, for a probability of 0.95, a diagram to calculate the required number of observations when performing multiple measurements was constructed. The application of the Law of the expanded uncertainty propagation proved to be the most universal for calculating the required number of observations, since it made it possible to obtain approximating expressions for both probabilities and for the normal and uniform laws attributed to the components of type B