EXTENDED METHOD OF ESTIMATION UNCERTAINTIES OF INDIRECT MULTIVARIABLE MEASUREMENTS ON THE TWOPORT EXAMPLE

Автор(и)

  • Zygmunt L. Warsza Industrial Research Institute of Automation and Measurements (PIAP), Al. Jerozolimskie 202, 02-486 Warszawa, Польща
  • Jacek Puchalski Central Metrology Office (GUM), 00-139 Warszawa ul. Elektoralna 2, Польща

DOI:

https://doi.org/10.24027/2306-7039.3А.2020.220219

Ключові слова:

indirect multivariable measurements, measurand, uncertainty, processing function, correlation coefficient, covariance matrix

Анотація

The new extended mathematical model for evaluation uncertainties of indirect multivariable measurements, which upgrades the method given in Supplement 2 of guide GUM, is presented. In this model the uncertainties and correlations of parameters of the processing function are taken also into account. This model can be used for multivariable measurements and to describe the accuracy of instruments and systems that perform such measurements. The estimation of uncertainties of voltage and current on the output of
a twoport network from indirect measurements on its input with considering influences the uncertainties of twoport  elements is included.

Посилання

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Warsza, Z.L., Puchalski, J. Estimation of uncertainty in indirect multivariable measurements. Part 1. Case of correlated quantities. in: R. Szewczyk et al. (Eds.), Proc. of AUTOMATION 2020, Towards Industry of the Future. AISIC series, v.1140, pp. 309–325, Springer Nature Switzerland AG2020 DOI: https://doi.org/10.1007/978-3-030-40971-5_29 Part 2. Influence of the processing function accuracy. in: AISIC series, v.1140, pp. 326–344, Springer N.S. AG. 2020 DOI: https://doi.org/10.1007/978-3-030-40971-5_30

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Опубліковано

2020-11-30