Multiscale voltage reconstruction with attention-based network for volume fraction prediction of industrial oil–water two-phase flow by EIT

H Yu, Z Zhang, Y Gao, J Jia - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Oil–water two-phase flow as a typical two-phase flow type widely exists in various industrial
processes and the accurate measurement of oil volume fraction (VF) plays a significant role …

A Flow Rate Estimation Method for Gas-liquid Two-Phase Flow Based on Transformer Neural Network

Y Jiang, H Wang, Y Liu, L Peng, Y Zhang… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Accurately estimating the flow rate of gas–liquid two-phase flow is crucial for reducing costs,
improving efficiency, and optimizing management in multiphase industries. However, due to …

Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography

J Lei, Q Liu, X Wang - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The electrical capacitance tomography is considered to be a promising non-invasive
visualization method for the measurement of multiphase flow parameters, but low-quality …

Image reconstruction method based on wavelet fusion in electrical capacitance tomography with rotatable electrode sensor

Q Zhang, H Mo, R Li, C Liang, J Luo, AA Bespal'Ko - Measurement, 2024 - Elsevier
In this paper, an image reconstruction method based on wavelet fusion in electrical
capacitance tomography with a rotatable electrode sensor is proposed. This method can …

Image Reconstruction of Electrical Capacitance Tomography Based on ADMM-Net

D Lu, L Zhang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
This article proposes a method that combines the alternating direction method of multipliers
(ADMMs) algorithm with neural networks based on the compressed sensing principle to …

Finite-Time Stabilization for Fuzzy Complex-Valued Neural Networks With Mixed Delays via Comparison Approach

Y Liu, Z Zhang, X Wang, Z Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article explores deeply the finite-time stabilization for the fuzzy complex-valued neural
networks (CVNNs) model with discrete delays and distributed delays. Based on the …

A two-stream deep imaging method for multifrequency capacitively coupled electrical resistance tomography

C Luo, L Zhu, Y Jiang, M Zhang, H Ji… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
In this work, a novel deep imaging method is proposed for multifrequency capacitively
coupled electrical resistance tomography (MFCCERT). A two-stream network consisting of a …

[HTML][HTML] A novel framework for three-dimensional electrical impedance tomography reconstruction of maize ear via feature reconfiguration and residual networks

HY Zheng, Y Li, N Wang, Y Xiang, JH Liu… - PeerJ Computer …, 2024 - peerj.com
Electrical impedance tomography (EIT) provides an indirect measure of the physiological
state and growth of the maize ear by reconstructing the distribution of electrical impedance …

Void fraction measurement of gas-liquid two-phase flow based on a multi-frequency CCEIT system

M Han, Y Jiang, H Ji, B Wang - Flow Measurement and Instrumentation, 2025 - Elsevier
This work proposes a novel void fraction measurement method of the gas-liquid two-phase
flow based on a multi-frequency capacitively coupled electrical impedance tomography …

Online calibration of ERT based on impedance analysis in oil-water two-phase flow measurement

E Huang, M Zhang, Y Zhang, B Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Oil-water two-phase flow is widely exists in the process of oil extraction and transportation.
The measurement of water-to-liquid ratio (WLR) of oil-water two-phase flow is crucial for …