Uncertainty analysis of a non-automatic weighing instrument from calibration data on scales according to the SIM guide
Autor: | Ulises Ospino-López, Cristian Antonio Pedraza-Yepes, Germán Roca-Gómez, José Daniel Hernández-Vásquez, Oscar Fabián Higuera-Cobos |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0303 health sciences
Multidisciplinary Computer science Scale (chemistry) Measurement uncertainty Experimental data Context (language use) Control engineering lcsh:Computer applications to medicine. Medical informatics Metrology 03 medical and health sciences 0302 clinical medicine Calibration lcsh:R858-859.7 lcsh:Science (General) SIM guide 030217 neurology & neurosurgery Uncertainty analysis Reliability (statistics) lcsh:Q1-390 030304 developmental biology Data Article |
Zdroj: | Data in Brief Data in Brief, Vol 33, Iss, Pp 106436-(2020) |
ISSN: | 2352-3409 |
Popis: | This research was motivated by technical-economic challenges imposed by mass metrology, specifically, in matters concerning calibration methods of non-automatic type weighing instruments (i.e.: digital scales). In order to contextualize the problem detected, in the industry there are different processes of mass measurement that are controlled by digital scales, such as: mass of liquids, chemicals, food, body mass of a person. In these processes, the scale is used in the following four conditions for mass measurement: (i) ascending and descending load, returned to zero; (ii) ascending and descending load, without the need to return to zero; (iii) only with ascending load and (iv) only with descending load. In this context and, maintaining the principles for the calibration of a measurement instrument in which it must be carried out under the same operating conditions as the instrument, metrology laboratories must knowing the metrological reliability (i.e.: errors and uncertainties) for each situation. This is exactly the main motivation for the development of the research. Thus, the experimental data obtained in a research laboratory under controlled environmental conditions allowed obtaining a minimum expanded uncertainty associated with the mass measurement of 0.0012 kg (k=2; confidence level: 95%). |
Databáze: | OpenAIRE |
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