Experimental Findings of Underwater Capacitive Imaging

This article presents experimental findings that highlight the performance improvement and characteristics of capacitive imaging (CI) when used in drinking water. The article introduced a basic modeling mechanism for CI underwater in the form of a parallel circuit. The expected responses and behavior underwater are then derived. The investigation was then carried out through two experiments. The first experiment compared the CI response in air versus those obtained in water in terms of magnitude and signal-to-noise ratio. The second experiment demonstrated how real and imaginary capacitance can be used to identify different features in a sample. Furthermore, the experimental results were compared to the expected responses using the derived analytical models. These findings can advance the underwater applications of CI sensors and lead to new underwater nondestructive testing (NDT) and monitoring methods.

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Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-10-14
DOI
https://doi.org/10.1109/jsen.2024.3475479
Citations
3
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
Field-Weighted Citation Impact
0.63

Funders

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article

Experimental Findings of Underwater Capacitive Imaging

Ming Cao, Ruixuan Qi, Doekle Yntema
3 citations
IEEE Sensors Journal
Electrical and Bioimpedance Tomography
0.63
article

Experimental Findings of Underwater Capacitive Imaging

Ming Cao, Ruixuan Qi, Doekle Yntema
article en
3 citations

Abstract

This article presents experimental findings that highlight the performance improvement and characteristics of capacitive imaging (CI) when used in drinking water. The article introduced a basic modeling mechanism for CI underwater in the form of a parallel circuit. The expected responses and behavior underwater are then derived. The investigation was then carried out through two experiments. The first experiment compared the CI response in air versus those obtained in water in terms of magnitude and signal-to-noise ratio. The second experiment demonstrated how real and imaginary capacitance can be used to identify different features in a sample. Furthermore, the experimental results were compared to the expected responses using the derived analytical models. These findings can advance the underwater applications of CI sensors and lead to new underwater nondestructive testing (NDT) and monitoring methods.

IEEE Sensors JournalVol. 24(23)
University of Groningen (NL)
European Commission, Wetsus
Openalex Percentile: Top 31%
Electrical and Bioimpedance Tomography
0.63
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