A new multivariable multiplexer applied to the calibration of multifunction calibrators

This work presents the design, construction and test of a multivariable multiplexer, which is tailored to automatically calibrate multifunction calibrators across several function such as AC and DC voltage and current, resistance, capacitance, and frequency. The multiplexer can manage voltages up to 1000 V, currents up to 20 A, resistances up to 1 GΩ, frequencies up to 10 MHz, and capacitances down to 1 nF. The uncertainty contribution of the multiplexer is negligible compared to the multimeter uncertainty. For instance, for DC voltage, the multiplexer introduces an uncertainty of less than 1 μV/V.

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Publication Details

Journal
Measurement Sensors
Published
2024-12-24
DOI
https://doi.org/10.1016/j.measen.2024.101440
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
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article

A new multivariable multiplexer applied to the calibration of multifunction calibrators

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Scientific Measurement and Uncertainty Evaluation
article

A new multivariable multiplexer applied to the calibration of multifunction calibrators

Marcos E. Bierzychudek, Cristian R. Muzzio, Diego Nahuel Coppa, Andrés Diego Toran, Favio Wainstein
article en

Abstract

This work presents the design, construction and test of a multivariable multiplexer, which is tailored to automatically calibrate multifunction calibrators across several function such as AC and DC voltage and current, resistance, capacitance, and frequency. The multiplexer can manage voltages up to 1000 V, currents up to 20 A, resistances up to 1 GΩ, frequencies up to 10 MHz, and capacitances down to 1 nF. The uncertainty contribution of the multiplexer is negligible compared to the multimeter uncertainty. For instance, for DC voltage, the multiplexer introduces an uncertainty of less than 1 μV/V.

Measurement SensorsVol. 38
National Institute of Industrial Technology (AR), Computational Intelligence and Information Systems Lab (AR)
Openalex Percentile: Top 76%
Scientific Measurement and Uncertainty Evaluation
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