Application of Electrical Tomography Imaging Using Machine Learning Methods for the Monitoring of Flood Embankments Leaks

Tomasz Rymarczyk, Krzysztof Król, Edward Kozłowski, Tomasz Wołowiec, Marta Cholewa-Wiktor and Piotr Bednarczuk
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Tomasz Rymarczyk: Research and Development Center, Netrix S.A., 20-704 Lublin, Poland
Krzysztof Król: Research and Development Center, Netrix S.A., 20-704 Lublin, Poland
Edward Kozłowski: Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland
Tomasz Wołowiec: Faculty of Administration and Social Sciences, University of Economics and Innovation, 20-209 Lublin, Poland
Marta Cholewa-Wiktor: Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland
Piotr Bednarczuk: Faculty of Transport and Computer Science, University of Economics and Innovation, 20-209 Lublin, Poland

Energies, 2021, vol. 14, issue 23, 1-35

Abstract: This paper presents an application for the monitoring of leaks in flood embankments by reconstructing images in electrical tomography using logistic regression machine learning methods with elastic net regularisation, PCA and wave preprocessing. The main advantage of this solution is to obtain a more accurate spatial conductivity distribution inside the studied object. The described method assumes a learning system consisting of multiple equations working in parallel, where each equation creates a single point in the output image. This enables the efficient reconstruction of spatial images. The research focused on preparing, developing, and comparing algorithms and models for data analysis and reconstruction using a proprietary electrical tomography solution. A reliable measurement solution with sensors and machine learning methods makes it possible to analyse damage and leaks, leading to effective information and the eventual prevention of risks. The applied methods enable the improved resolution of the reconstructed images and the possibility to obtain them in real-time, which is their distinguishing feature compared to other methods. The use of electrical tomography in combination with specific methods for image reconstruction allows for an accurate spatial assessment of leaks and damage to dikes.

Keywords: electrical tomography; sensors; machine learning; PCA; elastic net; wave preprocessing; image reconstruction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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