☆ 4.7 Article

Image Reconstruction Based on Multilevel Densely Connected Network With Threshold for Electrical Capacitance Tomography

IEEE SENSORS JOURNAL (2022)

Related references

Note: Only part of the references are listed.

Article Engineering, Environmental

Flow rate measurement of oil-gas-water wavy flow through a combined electrical and ultrasonic sensor

Xuewei Shi et al.

Summary: This study proposes a method that combines electrical and ultrasonic sensors to acquire flowing information of water-based dispersed wavy flow, a common horizontal oil-gas-water three-phase flow pattern. A theoretical model is established based on momentum balance for calculating phase flow rates, with the extraction of interfacial velocity and oil velocity achieved through signal processing methods. Dynamic experiments verify the effectiveness and accuracy of the proposed method for non-intrusive phase flow metering.

CHEMICAL ENGINEERING JOURNAL (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Gas-Liquid Flow Behavior Analysis Based on Phase-Amplitude Coupling and ERT

Lifeng Zhang et al.

Summary: This article studies the flow behavior of gas-liquid two-phase flow from the perspective of cross-frequency coupling, and proposes a phase-amplitude coupling method for flow pattern analysis. By using electrical resistance tomography to monitor the flow, decomposing signals into multiple scales with multivariate empirical mode decomposition, and expressing the coupling between low-frequency phase and high-frequency amplitude, the information exchange process in multi-scale space can be studied. Analysis of variance is applied to determine the scales with significant differences in information exchange of different flow patterns, and the data are visualized to describe the detailed flow structures and explore the causes of coupling changes. The evolution process of flow patterns is further researched.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Image Reconstruction in Electrical Capacitance Tomography Based on Deep Neural Networks

Wael Deabes et al.

Summary: This paper proposes a novel image reconstruction method based on a deep neural network utilizing Long Short-Term Memory (LSTM) network. Through training and testing on a large simulation dataset, it is found that the proposed LSTM-IR algorithm can create ECT images faster and more accurately compared to traditional and deep learning image reconstruction algorithms.

IEEE SENSORS JOURNAL (2021)

Add to Collection

Review Mechanics

Ultrasonic Doppler Technique for Application to Multiphase Flows: A Review

Chao Tan et al.

Summary: Ultrasound Doppler is crucial for measuring instantaneous velocity of multiphase flow, providing insights into fluid dynamics investigations, industrial safety assurance, production estimation, and process control. This technique offers non-intrusive spatial temporal distribution of velocity and has advantages in monitoring flow structures and gas-liquid interface positions.

INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2021)

Add to Collection

Article Engineering, Mechanical

Image reconstruction of electrical capacitance tomography based on optimal simulated annealing algorithm using orthogonal test method

Lifeng Zhang et al.

Summary: This study investigates the influence of optimizing the parameters of the simulated annealing algorithm on image reconstruction in electrical capacitance tomography. A set of optimal parameters is obtained through experiments, and comparison experiments are conducted to show that the optimized SA algorithm can better reconstruct typical oil-gas two-phase flow images, significantly improving the quality and shape fidelity of the central object in the reconstructed image.

FLOW MEASUREMENT AND INSTRUMENTATION (2021)

Add to Collection

Review Engineering, Electrical & Electronic

Conductance Sensors for Multiphase Flow Measurement: A Review

Xuewei Shi et al.

Summary: This paper reviews the basic principle of conductance sensors, different types, and their applications in flow monitoring, flow pattern identification, phase fraction determination, and velocity measurement of multiphase flow. Additionally, insights into the disadvantages, advantages, limitations of this technique, and trends for future development are presented.

IEEE SENSORS JOURNAL (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Excitation Strategies for 3-D Electrical Capacitance Tomography Sensors

Jingjing Shen et al.

Summary: The study found that a 3-D ECT sensor with dual-electrode excitation in the opposite position yielded higher mean capacitance and lower standard deviation compared to excitation in the adjacent position. Excitation in different planes can enhance capacitance signal and reduce dynamic range, leading to decreased random errors and improved image quality in 3-D reconstructions. Dual-electrode excitation in planes separated by one plane in opposite positions can result in lower measurement uncertainty and higher image quality.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Permittivity Reconstruction in Electrical Capacitance Tomography Based on Visual Representation of Deep Neural Network

Hai Zhu et al.

IEEE SENSORS JOURNAL (2020)

Add to Collection

Article Engineering, Electrical & Electronic

A Deep Learning Compensated Back Projection for Image Reconstruction of Electrical Capacitance Tomography

Jin Zheng et al.

IEEE SENSORS JOURNAL (2020)

Add to Collection

Review Engineering, Mechanical

Applications of machine learning to machine fault diagnosis: A review and roadmap

Yaguo Lei et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Add to Collection

Article Automation & Control Systems

Deep Residual Shrinkage Networks for Fault Diagnosis

Minghang Zhao et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

ECT Image Reconstruction Based on Alternating Direction Approximate Newton Algorithm

Chao Wang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Investigation of Spatial Resolution of Electrical Capacitance Tomography Based on Coupling Simulation

Jiamin Ye et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Add to Collection

Article Computer Science, Information Systems

ECT Sensor Simulation and Fuzzy Optimization Design Based on Multi Index Orthogonal Experiment

Zhe Ji et al.

IEEE ACCESS (2020)

Add to Collection

Review Engineering, Electrical & Electronic

Signal Demodulation Methods for Electrical Tomography: A Review

Shijie Sun et al.

IEEE SENSORS JOURNAL (2019)

Add to Collection

Article Engineering, Chemical

A machine learning approach for electrical capacitance tomography measurement of gas-solid fluidized beds

Qiang Guo et al.

AICHE JOURNAL (2019)

Add to Collection

Review Computer Science, Information Systems

Speech Emotion Recognition Using Deep Learning Techniques: A Review

Ruhul Amin Khalil et al.

IEEE ACCESS (2019)

Add to Collection

Article Engineering, Electrical & Electronic

An Autoencoder-Based Image Reconstruction for Electrical Capacitance Tomography

Jin Zheng et al.

IEEE SENSORS JOURNAL (2018)

Add to Collection

Article Engineering, Multidisciplinary

Reconstruction method of electrical capacitance tomography based on wavelet fusion

Lifeng Zhang et al.

MEASUREMENT (2018)

Add to Collection

Article Computer Science, Information Systems

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

Naveed Akhtar et al.

IEEE ACCESS (2018)

Add to Collection

Article Engineering, Mechanical

Iterative reconstruction algorithm for the inverse problems in electrical capacitance tomography

Ge Guo et al.

FLOW MEASUREMENT AND INSTRUMENTATION (2018)

Add to Collection

Review Engineering, Electrical & Electronic

Application of Process Tomography to Multiphase Flow Measurement in Industrial and Biomedical Fields: A Review

Jiafeng Yao et al.

IEEE SENSORS JOURNAL (2017)

Add to Collection

Article Engineering, Electrical & Electronic

Multi-Parametric Indicator Design for ECT Sensor Optimization Used in Oil Transmission

Nan Li et al.

IEEE SENSORS JOURNAL (2017)

Add to Collection

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Add to Collection

Article Engineering, Mechanical

An adaptive Tikhonov regularization parameter choice method for electrical resistance tomography

Yanbin Xu et al.

FLOW MEASUREMENT AND INSTRUMENTATION (2016)

Add to Collection

Review Instruments & Instrumentation

A review on image reconstruction algorithms for electrical capacitance/resistance tomography

Ziqiang Cui et al.

SENSOR REVIEW (2016)

Add to Collection

Article Engineering, Chemical

Online monitoring of gas-solid two-phase flow using projected CG method in ECT image reconstruction

Qi Wang et al.

PARTICUOLOGY (2013)

Add to Collection

Article Engineering, Mechanical

Landweber iterative algorithm based on regularization in electromagnetic tomography for multiphase flow measurement

Ze Liu et al.

FLOW MEASUREMENT AND INSTRUMENTATION (2012)

Add to Collection

Article Engineering, Electrical & Electronic

Flow Pattern Identification of Gas-Liquid Two-Phase Flow Based on Capacitively Coupled Contactless Conductivity Detection

Lei Wang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2012)

Add to Collection

Review Chemistry, Analytical

Electrical Capacitance Volume Tomography: Design and Applications

Fei Wang et al.

SENSORS (2010)

Add to Collection

Article Engineering, Electrical & Electronic

A New Method for the Online Voidage Measurement of the Gas-Oil Two-Phase Flow

Xia Li et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2009)

Add to Collection

© Peeref 2019-2024. All rights reserved.