Analysis of Reconstruction Energy Efficiency in EIT and ECT 3D Tomography Based on Elastic Net
نویسندگان
چکیده
The main goal of this paper is to research and analyze the problem image reconstruction performance using machine learning methods in 3D electrical capacitance tomography (ECT) impedance (EIT) by comparing areas inside tank determine finite elements for which one method reconstructions more effective. was conducted on 5000 simulated cases, ranged from five inclusions generated a cylindrical tank. authors first used elastic net perform then proposed testing effectiveness reconstruction. Based approach, obtained each were compared, within object identified. Finally, results simulation tests verified real measurements made with two types tomographs. It found that closer edge effectively reconstructed EIT, while ECT center Extensive analysis makes it possible use measurement energy optimization industrial processes biogas plant operation.
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ژورنال
عنوان ژورنال: Energies
سال: 2023
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en16031490