Перегляд за автором "Zakharov, I."

Зараз показано 1 - 7 з 7
  • Зображення мініатюри
    Публікація
    Advanced methods for measurement uncertainty evaluation
    (MMA-2022, 2022) Zakharov, I.; Botsiura, O.
    Disadvantages of the law of propagation of uncertainty underlying the implementation of the model approach in the GUM are analyzed. Advanced methods for implementing a model approach to measurement uncertainty evaluation are described, which allow eliminating the shortcomings of the GUM uncertainty framework: the law of propagation of distributions, the kurtosis method, the law of propagation of expanded uncertainty, the law of propagation of observational results for reliable evaluation of type A uncertainty for correlated and uncorrelated measurement results of input quantities.
  • Зображення мініатюри
    Публікація
    Hygrometers calibration: features of measurement results processing
    (2023) Zakharov, I.; Banev, K.; Nicolova, E.; Diakov, D.; Botsiura, O.; Zakharov, A.
    The procedure of hygrometers calibration is considered. The calibration scheme and a mathematical model describing it are presented. A procedure for measurement uncertainty evaluating at hygrometers calibration has been developed. The issues of increasing the hygrometer calibration productivity associated with the processing of measurement results are investigated. Recommendations on the use of the characteristics of the range of observations sample for the evaluating numerical value of the measurand and its type A standard uncertainty are given
  • Зображення мініатюри
    Публікація
    Measuring instruments calibration: advanced realisation of key elements
    (2023) Zakharov, I.; Botsiura, O.; Zadorozhna, I.; Semenikhin, V.; Diakov, D.; Grokhova, G.
    The main elements of measuring instruments calibration are described. The basic models of calibration of indicating measuring instruments and material measures, and the corresponding procedures for measurement uncertainty evaluating based on the kurtosis method are presented. Methods for validating calibration procedures for various types of measuring instruments are proposed. A technique for assessing the compliance of a calibrated measuring instruments with the given metrological characteristics is considered
  • Зображення мініатюри
    Публікація
    Peculiarities of measurement uncertainty evaluation at calibrating a ring gauge
    (2023) Zakharov, I.; Botsiura, O.; Diakov, D.; Świsulski, D.
    Example S13 from EA-4/02 M:2013 “Calibration of a ring gauge with a nominal diameter of 90 mm” is analyzed. The report uses the kurtosis method and the law of propagation of expanded uncertainty developed by the authors to the expanded uncertainty evaluation. It is shown that the introduction of a coaxiality correction for the ring gauge and the measuring axis of the comparator leads to the need to estimate its standard measurement uncertainty using the second-order terms of the Taylor series and taking into account the kurtosis of input quantities using the method of partial increments. A good agreement between the results obtained by applying the described procedure and the results obtained by the Monte Carlo method is shown.
  • Зображення мініатюри
    Публікація
    Reduction of the measurand estimate bias for nonlinear model equation
    (Journal of Physics: Conf. Series, 2018) Botsiura, O. A.; Zakharov, I.; Neyezhmakov, P.
    The biases arising in the calculation of the measurand estimate at nonlinear measurement models are considered. The possibility of reducing these biases by applying the finite increments method is shown.
  • Зображення мініатюри
    Публікація
    The measurement uncertainty analysis of the oil concentration in the sunflower seed
    (2019) Zakharov, I.; Chunikhina, T.; Papchenko, V.
    The results of the quality research of the new line sunflower seed are presented. The five quality parameters of the sunflower seed were investigated by implementation of the physical and chemical methods. The measurements of the check parameters at the reference conditions were done, the additional errors were absent. The example of the measurement uncertainty analysis of the oil concentration in the sunflower seed was given.
  • Зображення мініатюри
    Публікація
    Type A expanded uncertainty assigned to the measurand
    (2023) Zakharov, I.; Botsiura, O.; Diakov, D.
    The Monte Carlo Method was used to calculate the coverage factors for the convolution of two t-distributions laws with a different number of degrees of freedom and the ratio of standard deviations. Approximating expressions for the coverage factor of this convolution are given. The relative errors of applying these approximating expressions are calculated. The choice of an expression that provides the most accurate approximation of the obtained numerical values is substantiated. A technique for finding the number of degrees of freedom of the resulting convolution is proposed