[HTML][HTML] Electrical capacitance volume tomography: Design and applications

F Wang, Q Marashdeh, LS Fan, W Warsito - Sensors, 2010 - mdpi.com
This article reports recent advances and progress in the field of electrical capacitance
volume tomography (ECVT). ECVT, developed from the two-dimensional electrical …

Logistic regression for machine learning in process tomography

T Rymarczyk, E Kozłowski, G Kłosowski, K Niderla - Sensors, 2019 - mdpi.com
The main goal of the research presented in this paper was to develop a refined machine
learning algorithm for industrial tomography applications. The article presents algorithms …

Super-sensing technology: Industrial applications and future challenges of electrical tomography

K Wei, CH Qiu, K Primrose - … Transactions of the Royal …, 2016 - royalsocietypublishing.org
Electrical tomography is a relatively new imaging technique that can image the distribution
of the passive electrical properties of an object. Since electrical tomography technology was …

Comparison of selected machine learning algorithms for industrial electrical tomography

T Rymarczyk, G Kłosowski, E Kozłowski, P Tchórzewski - Sensors, 2019 - mdpi.com
The main goal of this work was to compare the selected machine learning methods with the
classic deterministic method in the industrial field of electrical impedance tomography. The …

Study on two-phase flow regime visualization and identification using 3D electrical capacitance tomography and fuzzy-logic classification

R Banasiak, R Wajman, T Jaworski, P Fiderek… - International Journal of …, 2014 - Elsevier
From variety of industry-oriented imaging solutions the electrical capacitance tomography
applied to the two-phase gas–liquid mixtures visualization and the phase distribution …

[HTML][HTML] Optimising the use of Machine learning algorithms in electrical tomography of building Walls: Pixel oriented ensemble approach

T Rymarczyk, G Kłosowski, A Hoła, J Sikora… - Measurement, 2022 - Elsevier
This paper presents the results of research on identifying moisture inside the walls of
buildings with the use of electrical impedance tomography (EIT). The original, complex pixel …

Comparison of machine learning methods in electrical tomography for detecting moisture in building walls

T Rymarczyk, G Kłosowski, A Hoła, J Sikora… - Energies, 2021 - mdpi.com
This paper presents the results of research on the use of machine learning algorithms and
electrical tomography in detecting humidity inside the walls of old buildings and structures …

Comparison of machine learning methods for image reconstruction using the LSTM classifier in industrial electrical tomography

G Kłosowski, T Rymarczyk, K Niderla, M Rzemieniak… - Energies, 2021 - mdpi.com
Electrical tomography is a non-invasive method of monitoring the interior of objects, which is
used in various industries. In particular, it is possible to monitor industrial processes inside …

[PDF][PDF] Innovative methods of neural reconstruction for tomographic images in maintenance of tank industrial reactors

T RymARczyk, G Kłosowski - Eksploatacja i Niezawodność, 2019 - bibliotekanauki.pl
The article presents an innovative concept of improving the monitoring and optimization of
industrial processes. The developed method is based on a system of many separately …

Metrological evaluation of a 3D electrical capacitance tomography measurement system for two-phase flow fraction determination

R Wajman, P Fiderek, H Fidos, T Jaworski… - Measurement …, 2013 - iopscience.iop.org
The industrial diagnostic and monitoring systems still require new methods offering new
possibilities of non-invasive observation and analysis of the two-phase gas–liquid mixture …