Application of Multi-Criteria Optimization Methods in the Calibration Process of Digital Measuring Instruments

2Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

Abstract

The article describes the use of multi-criteria optimization methods during the calibration of digital multimeters. Currently, calibration is based on a single measurement of a specific value. The aim of this research was to confirm the possibility of using a series of measurements in order to reduce the measurement uncertainty without significantly extending the calibration time. The automatic measurement loading laboratory stand used during the conducted experiments was essential to obtain results that allowed confirming the thesis. This article presents the applied optimization methods and the results of the calibration of sample digital multimeters obtained thanks to them. As a result of the research, it was found that the use of a series of measurements increased the accuracy of the calibration, reduced the measurement uncertainty, and shortened the calibration time compared to traditional methods.

Cite

CITATION STYLE

APA

Klebba, M., Adamczyk, A., Wąż, M., & Iwen, D. (2023). Application of Multi-Criteria Optimization Methods in the Calibration Process of Digital Measuring Instruments. Sensors, 23(6). https://doi.org/10.3390/s23062984

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free