Measurement uncertainty evaluation at mass calibration

Zakharov, I. P.; Botsiura, O. A.; Patsenko, O.

Публікація:
Measurement uncertainty evaluation at mass calibration

dc.contributor.author	Zakharov, I. P.
dc.contributor.author	Botsiura, O. A.
dc.contributor.author	Patsenko, O.
dc.date.accessioned	2022-01-03T21:00:17Z
dc.date.available	2022-01-03T21:00:17Z
dc.date.issued	2020
dc.description.abstract	Example 9.3.1.1 of JCGM-S1 “Mass calibration” is analyzed, which describes the comparison in air of reference and calibrated weights having the same nominal mass. JCGM-S1 compares uncertainty evaluation procedures based on the GUM uncertainty framework and the Monte Carlo method. The article uses the procedure developed by the authors and consists in decomposing the measurement model into a Taylor series of the second order taking into account the kurtoses of the distributions of input quantities. To facilitate the calculations, the finite increment method is used. To find expanded uncertainty, the kurtosis method is used. Good agreement between the results obtained by the proposed method and the result obtained by the Monte Carlo method is shown.	uk_UA
dc.identifier.citation	Zakharov I. Measurement uncertainty evaluation at mass calibration / I. Zakharov, O. Botsiura, O. Patsenko // Ukrainian metrological journal, 2020, №3. – P. 36-41	uk_UA
dc.identifier.issn	2306-7039
dc.identifier.uri	https://openarchive.nure.ua/handle/document/18980
dc.language.iso	en	uk_UA
dc.publisher	NNC Institute of metrology	uk_UA
dc.relation.ispartofseries	Ukrainian metrological journal;№3, pp. 36-41
dc.subject	measurement uncertainty	uk_UA
dc.subject	calibration	uk_UA
dc.subject	nonlinear model equation	uk_UA
dc.subject	kurtosis method	uk_UA
dc.subject	weight	uk_UA
dc.title	Measurement uncertainty evaluation at mass calibration	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication