数字欧姆表校准过程中测量不确定度评定的特点

IF 0.1 Q4 INSTRUMENTS & INSTRUMENTATION
Igor Zakharov, V. Semenikhin, Oleksandr Zakharov, Svitlana Shevchenko
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引用次数: 0

摘要

研究了直流数字欧姆表标定时电阻单位尺寸的转换方法。描述了测量不确定度评定的程序:测量模型的记录及其精化、输入值和实测值的评定、输入值和实测值的标准不确定度评定、扩展不确定度评定。改进后的模型包括参考电阻的阻值对温度的依赖,以及对参考电阻自上次校准以来阻值漂移的校正。采用峰度法评价扩展不确定度。对输入值和测量值的峰度进行了不确定性预算。使用Excel包,可以在此预算的基础上实现测量不确定度计算自动化程序。本文考虑了在1 mOhm点使用电阻线圈R310校准2318型数字欧姆表时测量不确定度评估的一个例子,其精度等级为0.01。研究了测量模型的非线性对测量值估计值及其组合标准不确定度的影响。为了验证结果,采用蒙特卡罗方法对测量值的分布规律进行了建模。提出了一种利用NIST不确定性机web应用程序确定缺失置信水平0.9545的扩展不确定性的算法。将峰度法和蒙特卡罗法的测量不确定度评定结果进行了比较,结果表明两者吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Features of measurement uncertainty evaluation during calibration of digital ohmmeters
The scheme for transferring the size of the unit of resistance during the calibration of digital ohmmeters at direct current is considered. The procedure for the measurement uncertainty evaluation is described: recording the measurement model and its refinement, evaluation of input and measured values, evaluation of standard uncertainties of the input and measured values, evaluation of the expanded uncertainty. The refined model includes the dependence of the resistance of the reference resistor on temperature and a correction to the drift of the resistance value of the reference resistor since its last calibration. To evaluate the expanded uncertainty, the kurtosis method was used. An uncertainty budget has been made, including the kurtosis of input and measured values. The use of the Excel package makes it possible to implement, based on this budget, a program for automation of measurement uncertainty calculations. An example of the measurement uncertainty evaluation during the calibration of a digital ohmmeter of type 2318 at a point of 1 mOhm using an electrical resistance coil R310 with an accuracy class of 0.01 is considered. The influence of nonlinearity of the measurement model on the estimates of the numerical value of the measurand and its combined standard uncertainty is studied. To verify the results, the distribution law of the measurand was modelled by the Monte Carlo method. An algorithm for determining the expanded uncertainty using the NIST Uncertainty Machine web application for the missing confidence level of 0.9545 is proposed. The comparison of the results of the measurement uncertainty evaluation by the kurtosis and Monte Carlo methods has shown their good agreement.
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来源期刊
Ukrainian Metrological Journal
Ukrainian Metrological Journal INSTRUMENTS & INSTRUMENTATION-
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