Defect Recognition for Eddy Current Testing of Spent Nuclear Fuel Canister using Convolutional Neural Network-Reference-Cited by-同舟云学术

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Defect Recognition for Eddy Current Testing of Spent Nuclear Fuel Canister using Convolutional Neural Network

Published:2023-12-08 Issue: Volume:5 Page:1-6
ISSN:
Container-title:2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON)
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Author:

Niu Guangxing¹,Ji Yuan²,Tang Wei³,Zhang Bin¹

Affiliation:

1. Uniersity of South Carolina,Department of Electrical Engineering,Columbia,SC,USA

2. Virginia State University,Department of Applied Engineering Technology,Petersburg,VA,USA

3. Oak Ridge National Laboratory,Materials Science and Technology Division,Oak Ridge,TN,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430416/10430420/10431270.pdf?arnumber=10431270

Reference22 articles.

1. Nuclear energy review,2012

2. Final Report: Characterization of Canister Mockup Weld Residual Stresses

3. A Versatile Remediation Module for Remote Repair of Spent Nuclear Fuel and High-Level Waste Storage Containers

4. Aging Management Guidance to Address Potential Chloride Induced Stress Corrosion Cracking of Welded Stainless Steel Canisters;Fuhr,2017

5. Managing Aging Processes in Storage (MAPS) Report;NUREG-2214, United States Nuclear Regulatory Commission,2019

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