DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images

@article{Feng2020DeepWeldingAD,
  title={DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images},
  author={Yunhe Feng and Zongyao Chen and Dali Wang and Jian Chen and Zhili Feng},
  journal={IEEE Transactions on Industrial Informatics},
  year={2020},
  volume={16},
  pages={465-474}
}
Deep learning has great potential to reshape manufacturing industries. In this article, we present DeepWelding, a novel framework that applies deep learning techniques to improve gas tungsten arc welding process monitoring and penetration detection using multisource sensing images. The framework is capable of analyzing multiple types of optical sensing images synchronously and consists of three deep learning enhanced consecutive phases: image preprocessing, image selection, and weld penetration… 

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