A New Method of Increasing the Measurement Accuracy in Adaptive Measurement Systems with Bank of Sensors

Konrad Jędrzejewski

Abstract

The paper presents a new method for determining sensors sensitivities (gains) and processing of measurement data in high-precision wide-range adaptive measurement systems which use the set (bank) of compensatory sensors (or measurement subsystems) with various input ranges. The proposed method enables to obtain an additional increase in measurement accuracy of adaptive measurement systems compared to previous studies. The method allows setting the sensors sensitivities to the maximal admissible values guaranteeing the absence of sensors saturations at the assumed confidence level. In turn, setting the maximum values of the sensors sensitivities makes it possible to obtain the highest measurement accuracy of the system attainable under given conditions. The effectiveness of the proposed method was examined and confirmed in simulation experiments. Selected results of these experiments illustrating the potential benefits of its application are presented and discussed in the paper.
Author Konrad Jędrzejewski (FEIT / PE)
Konrad Jędrzejewski,,
- The Institute of Electronic Systems
Pages96-101
Publication size in sheets0.5
Book Proceedings 2018 International Conference of Signals and Electronic Systems (ICSES), 2018, IEEE, ISBN 978-1-5386-6767-5, 309 p.
Keywords in Englishbank of sensors, measurement systems, measurement techniques, adaptive measurement systems, wide range measurement, measurement accuracy
DOIDOI:10.1109/ICSES.2018.8507324
URL https://ieeexplore.ieee.org/document/8507324
projectResearch on measurement, circuit and signal theory and electronic circuits and systems. Project leader: Starecki Tomasz, , Phone: +48 22 234 7744; +48 22 234 3657, start date 05-06-2017, end date 31-10-2018, ISE/2017/DS, Completed
WEiTI Działalność statutowa
Languageen angielski
File
jedrzejewski.pdf 291.23 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 26-04-2019, ChapterFromConference
Ministerial score (2013-2016) = 15.0, 26-04-2019, ChapterFromConference
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