Memetic reconstruction algorithm for the ECT-Reference-Cited by-同舟云学术

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Memetic reconstruction algorithm for the ECT

Published:2018-10 Issue:7 Volume:12 Page:917-924
ISSN:1751-8830
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET Science, Measurement & Technology

Author:

Tong Guowei¹,Chen Hongyan¹,Liu Shi²

Affiliation:

1. School of Control and Computer EngineeringNorth China Electric Power UniversityChangping DistrictBeijing102206People's Republic of China

2. School of EnergyPower and Mechanical EngineeringNorth China Electric Power UniversityChangping DistrictBeijing102206People's Republic of China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2018.5241

Reference37 articles.

1. Real‐time two dimensional imaging of solid contaminants in gas pipelines using an electrical capacitance tomography system;Meribout M.;IEEE Trans. Ind. Electron.,2017

2. Thick-wall electrical capacitance tomography and its application in dense-phase pneumatic conveying under high pressure

3. 3D imaging with single‐plane electrical capacitance tomography sensor

4. Real‐time monitoring and measurement of wax deposition in pipelines via non‐invasive electrical capacitance tomography;Irene L.S.M.;Meas. Sci. Technol.,2016

5. Imaging of oil-water flow patterns by Electrical Capacitance Tomography

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel computational imaging algorithm based on split Bregman iterative for electrical capacitance tomography;Measurement Science and Technology;2021-08-27

2. Background image-assisted divide-and-conquer reconstruction method for ECT;Engineering Applications of Artificial Intelligence;2020-10

3. Ensemble learning-based computational imaging method for electrical capacitance tomography;Applied Mathematical Modelling;2020-06

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