Design of a deep learning visual system for the thickness measurement of each coating layer of TRISO-coated fuel particles-Reference-Cited by-同舟云学术

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Design of a deep learning visual system for the thickness measurement of each coating layer of TRISO-coated fuel particles

Published:2022-03 Issue: Volume:191 Page:110806
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhang Hang,Liu Jian,Hu Zhaochuan,Chen Ning,Yang Zhiyuan,Shen Junhua

Funder

Changsha Science and Technology Bureau

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference63 articles.

1. Qualification of Hardware Description Language Designs for Safety Critical Applications in Nuclear Power Plants;John;IEEE Trans. Nucl. Sci.,2020

2. Generation-IV reactors and nuclear hydrogen production;Sümer;Int. J. Hydrogen Energ.,2021

3. Investigation of uncertainty caused by random arrangement of coated fuel particles in HTTR criticality calculations;Ho;Ann. Nucl. Energy,2018

4. A chattering-free sliding mode control strategy for modular high-temperature gas-cooled reactors;Wang;Ann. Nucl. Energy,2019

5. Research and development on HTGR fuel in the HTTR project;Sawa;Nucl. Eng. Des.,2004

Cited by 6 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. FLSSnet: Few labeled samples segmentation network for coated fuel particle segmentation;Advanced Engineering Informatics;2024-10

2. A context-ensembled refinement network for image segmentation of coated fuel particles;Applied Soft Computing;2024-09

3. A Context-Ensembled Refinement Network for Image Segmentation of Coated Fuel Particles;2023

4. A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network;Computers in Industry;2022-12

5. Special Issue: Nondestructive Evaluation of Material Surfaces: Theory, Techniques, and Applications;Coatings;2022-07-07

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