Gjakovski, Ivan and Milev, Sasko and Brkovski, Dean and Gerasimovski, Aleksandar (2019) Procedure for Determination of the Calibration Curve of the Measurement Device Using the Method of Linear Regression. Scientific Technical Union Mechanical Engineering, Bulgaria, pp. 311-315.
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Proceedings of XVI International Scientific Congress, Machine, Technologies, Materials, 2019, Varna, Bulgaria.pdf Download (6MB) | Preview |
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Procedure for Determination of the Calibration Curve of the Measurement Device Using the Method of Linear Regresion.pdf Download (1MB) | Preview |
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Abstract
The result of each measurement consists big or small measurement uncertainty. Many sources of uncertainty, especially in
industry measurements, are not well studied and require further researchment. Therefore, it is important to have good knowledge about
measurement uncertainty in order to minimize as much as possible.
The results of performed analyse and the study of the opportunities for application of the method of linear regression for determination
the calibration curve of the measurement device are presented in this paper. The researchment refers to the assessment of the measurement
uncertainty type A and B, as well as the combined and extended uncertainty of the measurement result.
By the fulfillment of the assumption for realization of an engineering experiment, with possession of mathematical, technical and
practical experience of the operator and the computer supported analytical process, the calibration curve of the measurement device is
determined, as well as the extended uncertainty of the measurement result. In this way, a stable measurement process will be achieved, a
consistent measurement result, with an increased level of confidence.
KEY WORDS: measurement uncertainty, linear regression, calibration curve.
| Item Type: | Book |
|---|---|
| Subjects: | Engineering and Technology > Mechanical engineering |
| Divisions: | Faculty of Mechanical Engineering |
| Depositing User: | Sasko Milev |
| Date Deposited: | 21 Jan 2020 14:09 |
| Last Modified: | 21 Jan 2020 14:09 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/23249 |
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