Features of the data estimation of interlaboratory comparison for calibration laboratories

An actual task is to establish specific requirements for interlaboratory comparisons (ILC) and, on their basis, to select a criterion for assessing consistency for calibration laboratories (CLs). The paper contains a detailed analysis of the results of the two ILCs for CLs. Particular attention is d...

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Main Authors: Oleh Velychko, Tetyana Gordiyenko
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Measurement: Sensors
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917421000398
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author Oleh Velychko
Tetyana Gordiyenko
author_facet Oleh Velychko
Tetyana Gordiyenko
author_sort Oleh Velychko
collection DOAJ
description An actual task is to establish specific requirements for interlaboratory comparisons (ILC) and, on their basis, to select a criterion for assessing consistency for calibration laboratories (CLs). The paper contains a detailed analysis of the results of the two ILCs for CLs. Particular attention is devoted to consistency analysis of the data obtained from the laboratories. Recommendations for improving the technical competence of CLs with their participation in the ILC are presented. To declare measurement uncertainty, a laboratory must take into account all the main components to this uncertainty.
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spelling doaj.art-69f954372a204e0a8a11488b660501ee2022-12-21T21:46:54ZengElsevierMeasurement: Sensors2665-91742021-12-0118100076Features of the data estimation of interlaboratory comparison for calibration laboratoriesOleh Velychko0Tetyana Gordiyenko1Corresponding author.; State Enterprise “Ukrmetrteststandard”, 4, Metrologichna Str., 03143, Kyiv, UkraineState University of Telecommunications, Solomianska Str., 7, 03110, Kyiv, UkraineAn actual task is to establish specific requirements for interlaboratory comparisons (ILC) and, on their basis, to select a criterion for assessing consistency for calibration laboratories (CLs). The paper contains a detailed analysis of the results of the two ILCs for CLs. Particular attention is devoted to consistency analysis of the data obtained from the laboratories. Recommendations for improving the technical competence of CLs with their participation in the ILC are presented. To declare measurement uncertainty, a laboratory must take into account all the main components to this uncertainty.http://www.sciencedirect.com/science/article/pii/S2665917421000398Interlaboratory comparisonData evaluationReferent laboratoryCalibration laboratoryCalibrationMeasurement uncertainty
spellingShingle Oleh Velychko
Tetyana Gordiyenko
Features of the data estimation of interlaboratory comparison for calibration laboratories
Measurement: Sensors
Interlaboratory comparison
Data evaluation
Referent laboratory
Calibration laboratory
Calibration
Measurement uncertainty
title Features of the data estimation of interlaboratory comparison for calibration laboratories
title_full Features of the data estimation of interlaboratory comparison for calibration laboratories
title_fullStr Features of the data estimation of interlaboratory comparison for calibration laboratories
title_full_unstemmed Features of the data estimation of interlaboratory comparison for calibration laboratories
title_short Features of the data estimation of interlaboratory comparison for calibration laboratories
title_sort features of the data estimation of interlaboratory comparison for calibration laboratories
topic Interlaboratory comparison
Data evaluation
Referent laboratory
Calibration laboratory
Calibration
Measurement uncertainty
url http://www.sciencedirect.com/science/article/pii/S2665917421000398
work_keys_str_mv AT olehvelychko featuresofthedataestimationofinterlaboratorycomparisonforcalibrationlaboratories
AT tetyanagordiyenko featuresofthedataestimationofinterlaboratorycomparisonforcalibrationlaboratories