Few-Shot Surface Defect Detection in Sinusoidal Wobble Laser Welds Using StyleGAN2-AFMS Augmentation and YOLO11n-WAFE Detector

In the manufacturing of high-reliability components, sinusoidal wobble laser welding has gained preference due to its excellent performance. However, surface defect inspection for such welds is challenged by large variations in defect scales, the coexistence of multiple defects, and scarce samples,...

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Autori principali:	Guangkai Ma, Jianwen Zhang, Jiheng Jiang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-02-01
Serie:	Automation
Soggetti:	defect detection sinusoidal wobble laser welding few-shot learning weld defect YOLO generative adversarial network
Accesso online:	https://www.mdpi.com/2673-4052/7/2/38
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