**摘要**
Supervised deep learning has been widely used for weld penetration state classification; however, its performance often degrades significantly under domain shift, such as when transferring models between welding processes with distinct physical mechanisms:for instance, from arc-dominated tungsten inert gas (TIG) welding to keyhole-based laser welding. To overcome this limitation, we propose an uns
👤 作者: Sen Li, Haichao Cui, Chendong Shao, Yaqi Wang, Xinhua Tang

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🔗 **[A cross-process welding penetration status prediction algorithm based on unsupervised domain adaptation in laser and TIG welding](https://arxiv.org/abs/2606.26078v1)**

> A cross-process welding penetration status prediction algorithm based on unsupervised domain adaptation in laser and TIG welding
🏷️ 来源: ArXiv cs.AI
⏱️ 2026-06-25 14:00