Events8th International Symposium on Sensor Science
Published
with-doi10.3390/I3S2021Dresden-10145 (registering DOI)
This submission belongs to the session S3. Physical Sensors of the event 8th International Symposium on Sensor Science
Published date
17 May, 2021
Citation
Julius Harms, Yiğithan Kandur, Thorsten Alexander Kern, Uncertainty Analysis for Low-Cost Transformer Type Inductive Conductivity Sensors, in Proceedings of 8th International Symposium on Sensor Science, 17 May–28 May 2021, MDPI: Basel, Switzerland, doi: 10.3390/I3S2021Dresden-10145
Share
Email
Facebook
Twitter
LinkedIn

Uncertainty Analysis for Low-Cost Transformer Type Inductive Conductivity Sensors

1. Institute for Mechatronics in Mechanics (IMEK), Hamburg University of Technology, 21073 Hamburg, Germany
2. Institute for Mechatronics in Mechanics, Hamburg University of Technology, 21073 Hamburg, Germany, Germany
Abstract

Transformer-type inductive conductivity sensors (TICS) are the industry standard for long-term conductivity measurement in fluids. This paper analyzes the potential of TICS as a low-cost alternative to the more cost-efficient type of conductivity cells by an implementation with reduced complexity. Sensor characteristics and performance in comparison to high precision sensor are described in the study. Linearity and hysteresis error in measurement, reproducibility and permeability influence by the temperature change are quantified through the experiments. The results were interpreted in regards to core material, geometric properties and noise shielding. Study presented in this paper provides a better understanding of performance and uncertainty characteristics in order to improve the design of low-cost transformer type inductive conductivity sensors.

Keywords
salinity
conductivity
inductive
transformer
sensor
low-cost
uncertainty
Manuscript
Poster
sciforum-043175_POSTER.pdf
FLIM indicators for quantitative measurement of рН
Low-Frequency Magnetic Localization of Capsule Endoscopes with an Integrated Coil