Lightweight DCGAN and MobileNet based model for detecting X-ray welding defects under unbalanced samples

Abstract X-ray nondestructive testing technology is widely used for inspecting welds and identifying defects, and is crucial in the manufacturing industry. However, the diversity of welding defects and the imbalanced defect samples reduce defect classification model accuracy and can cause classifier...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Lei Zhang, Haihong Pan, Bingqi Jia, Lulu Li, Minling Pan, Lin Chen
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-02-01
Subjects:	DCGAN X-ray images Imbalanced data Weld defect detection MobileNet
Online Access:	https://doi.org/10.1038/s41598-025-89558-0