Перегляд за автором "Neyezhmakov, P. I."

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  • Зображення мініатюри
    Публікація
    Revision of GUM: the suggested alhorythm for processing measurment results
    (2019) Zakharov, I. P.; Neyezhmakov, P. I.; Botsiura, O. A.
    The main requirements for the revised GUM are considered. The proposed algorithm for processing measurement results is given. Criteria for compliance with the listed requirements are described. Methods for processing the measurement results with a nonlinear model are proposed.
  • Зображення мініатюри
    Публікація
    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
  • Зображення мініатюри
    Публікація
    Verification of the Indicating Measuring Instruments Taking into Account their Instrumental Measurement Uncertainty
    (Institute of Measurement Science, 2017) Zakharov, I. P.; Neyezhmakov, P. I.; Botsiura, O. A.
    The specific features of the measuring instruments verification based on the results of their calibration are considered. It is noted that, in contrast to the verification procedure used in the legal metrology, the verification procedure for calibrated measuring instruments has to take into account the uncertainty of measurements into account. In this regard, a large number of measuring instruments, considered as those that are in compliance after verification in the legal metrology, turns out to be not in compliance after calibration. In this case, it is necessary to evaluate the probability of compliance of indicating measuring instruments. The procedure of compliance probability determination on the basis of the Monte Carlo method is considered. An example of calibration of a Vernier caliper is given.