Academic Journal

Evaluation of expanded uncertainty at glass thermometer calibration

Bibliographic Details
Title: Evaluation of expanded uncertainty at glass thermometer calibration
Authors: Zaharov, Igor, Botsiura, Olesia, Brikman, Anastasiia, Zaharov, Oleksandr
Source: Український метрологічний журнал; № 4 (2019); 23-28
Украинский метрологический журнал; № 4 (2019); 23-28
Ukrainian Metrological Journal; № 4 (2019); 23-28
Publisher Information: National Scientific Centre Institute of Metrology, 2019.
Publication Year: 2019
Subject Terms: glass thermometer, calibration, correlation, measurement uncertainty, kurtosis method, uncertainty budget, 4. Education, 0103 physical sciences, UDC 006.91:53.08, термометр стеклянный, калибровка, корреляция, неопределенность измерений, метод эксцессов, бюджет неопределенности, 0202 electrical engineering, electronic engineering, information engineering, УДК 006.91:53.08, 02 engineering and technology, 01 natural sciences, термометр скляний, калібрування, кореляція, невизначеність вимірювань, байєсівський підхід, метод ексцесів, бюджет невизначеності
Description: A method for calibrating a glass thermometer is investigated and a procedure for measurement uncertainty evaluation based on the kurtosis method is developed. The correlation between the indication of the reference and calibrated thermometers at uncertainty evaluation is taken into account. The effectiveness of the reduction method applying in calculating the uncertainty of correlated measurements is demonstrated. Uncertainty budgets have been drawn up, which can be used as the basis for developing software tools to automate the uncertainty evaluation. A real example of the measurement uncertainty evaluation at glass thermometer calibration is considered. It is shown that taking into account the correlation between the measurement results of the calibrated and reference thermometers allows to reduce the values of the combined and expanded measurement uncertainty by almost 1.5 times. The coincidence of the results obtained by the proposed method and the Monte Carlo method is shown.
Document Type: Article
Other literature type
File Description: application/pdf
ISSN: 2522-1345
2306-7039
DOI: 10.24027/2306-7039.4.2019.195953
Access URL: http://umj.metrology.kharkov.ua/article/download/195953/196268
http://umj.metrology.kharkov.ua/article/view/195953
http://umj.metrology.kharkov.ua/article/download/195953/196268
http://umj.metrology.kharkov.ua/article/view/195953
Rights: CC BY
Accession Number: edsair.doi.dedup.....83ffe9ac8bc3b15dba94a127f6a2b62a
Database: OpenAIRE
Description
ISSN:25221345
23067039
DOI:10.24027/2306-7039.4.2019.195953