Integration of Monte Carlo simulation for uncertainty evaluation into intra-laboratory comparison for reference standards consistency assessment

Authors

  • Kiril Demerdziev Ss. Cyril and Methodius University in Skopje, Faculty of Electrical Engineering and Information Technologies
  • Marija Cundeva-Blajer

DOI:

https://doi.org/10.21014/actaimeko.v15i2.2282

Keywords:

Intra-laboratory comparison, measurement uncertainty, Monte Carlo simulation, quality assurance

Abstract

Accredited calibration and test laboratories are required to participate periodically in inter-laboratory comparisons and proficiency testing schemes, as part of their quality assurance procedures, for ensuring the validity of the data, which is provided to their clients. In this paper, an intra-laboratory comparison, as an additional tool for quality assurance, is presented. The proposed concept is practically realized in an accredited calibration laboratory for electrical quantities instruments, in the domain of high-resistance reproduction and measurements. Reference standards of the highest accuracy class available, which are traceable to BIPM intrinsic standards through different national metrology institutes, are used, covering the range above 100 MΩ. A methodology for the calculation of the  criterion, in accordance with the ISO/IEC 17043 guidelines, is deployed. The measurement uncertainty is evaluated according to the principles presented in the Guide to the expression of uncertainty in measurement (GUM), as well as by using the Monte Carlo simulation concept of distribution propagation. By regarding the different principles for resistance measurement, implemented in the selected instrumentation and the two methods for uncertainty calculation, this intra-laboratory comparison offers a quantitative assessment of the consistency and reliability of the selected reference standards, thereby enhancing confidence and credibility of the measurement results provided by the laboratory.

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Published

2026-05-18

Issue

Vol. 15 No. 2 (2026)

Section

Research Papers

License

Copyright (c) 2026 Kiril Demerdziev, Marija Cundeva-Blajer

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