Defect monitoring system of the internal structures of a sodium fast reactor using an artificial intelligence model

Defect monitoring system of the internal structures of a sodium fast reactor using an artificial intelligence model

This study developed a defect-monitoring system with an artificial intelligence model, YOLOv7, which is tailored for processing image data from an ultrasonic visualization system within sodium fast reactor (SFR) internal structures. For the safety of SFR internal structures, although it is a crucial...

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Bibliographic Details
Main Authors: Hyungi Byun, Han Gil Lee, Beom Kyu Kim, Geun Dong Song, Bongsoo Lee
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Nuclear Engineering and Technology
Subjects:
Defect monitoring
Artificial intelligence
Sodium fast reactor
Internal structure
Ultrasonic sensor
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573324003656

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http://www.sciencedirect.com/science/article/pii/S1738573324003656

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