Image reconstruction of electrical capacitance tomography based on an efficient sparse Bayesian learning algorithm

L Zhang, L Dai - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Image reconstruction is the main research problem of electrical capacitance tomography
(ECT). In this article, a novel ECT image reconstruction algorithm based on an efficient …

Image reconstruction in electrical capacitance tomography based on deep neural networks

W Deabes, KMJ Khayyat - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Electrical Capacitance Tomography (ECT) image reconstruction has been largely applied
for industrial applications. However, there is still a crucial need to develop a new framework …

Real-time 3-D imaging and velocity measurement of two-phase flow using a twin-plane ECT sensor

S Sun, X Lu, L Xu, Z Cao, J Sun… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
This article presents a method for real-time 3-D imaging and velocity measurement of two-
phase flows using a twin-plane electrical capacitance tomography (ECT) sensor with 24 …

A hybrid deep learning model for ECT image reconstruction of cryogenic fluids

G Xinxin, T Zenan, Q Limin, Z Xiaobin - Flow Measurement and …, 2022 - Elsevier
Compared to general room-temperature fluids, the characteristics of cryogenic fluids, as well
as the complexity of the cryogenic environment, pose greater challenges for reconstruction …

[PDF][PDF] Residual Autoencoder Deep Neural Network for Electrical Capacitance Tomography.

W Deabes, KE Bouazza - Computers, Materials & Continua, 2022 - cdn.techscience.cn
Great achievements have been made during the last decades in the field of Electrical
Capacitance Tomography (ECT) image reconstruction. However, there is still a need to …

CGAN-ECT: Tomography image reconstruction from electrical capacitance measurements using CGANs

W Deabes, AE Abdel-Hakim - arXiv preprint arXiv:2209.03737, 2022 - arxiv.org
Due to the rapid growth of Electrical Capacitance Tomography (ECT) applications in several
industrial fields, there is a crucial need for developing high quality, yet fast, methodologies of …

Electrical capacitance tomography sensor with house structure for assisting recognition of objects

Z Li, S Xiao, Q Yue, T Wang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
As a fast and non-invasive visualization technology, electrical capacitance tomography
(ECT) avoids the problem that camera imaging technology is interfered by light and can't …

Image reconstruction of electrical capacitance tomography based on adaptive support driven Bayesian reweighted algorithm

L Zhang, L Dai - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Image reconstruction of electrical capacitance tomography (ECT) is a nonlinear and ill-
posed inverse problem. Therefore, how to introduce an effective algorithm to reduce the ill …

Review on the study of theory and method of electrical capacitance tomography of cryogenics propellant

X Gao, Z Tian, X Zhang - Physics of Fluids, 2023 - pubs.aip.org
Electrical capacitance tomography (ECT) is a noninvasive advanced measurement
technique with the potential to be applied to cryogenic propellant monitoring in microgravity …

CGAN-ECT: Reconstruction of Electrical Capacitance Tomography images from capacitance measurements using Conditional Generative Adversarial Networks

W Deabes, AE Abdel-Hakim - Flow Measurement and Instrumentation, 2024 - Elsevier
Due to the rapid growth of applications of Electrical Capacitance Tomography (ECT) across
diverse industrial sectors, there is a pressing demand for swift and high-fidelity …