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Dynamic Modeling of Weld Bead Geometry Features in Thick Plate GMAW Based on Machine Vision and Learning

Weld bead geometry features (WBGFs) such as the bead width, height, area, and center of gravity are the common factors for weighing welding quality control. The effective modeling of these WBGFs contributes to implementing timely decision making of welding process parameters to improve welding quali...

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Detalhes bibliográficos
Publicado no:Sensors (Basel)
Main Authors: He, Yinshui, Li, Daize, Pan, Zengxi, Ma, Guohong, Yu, Lesheng, Yuan, Haitao, Le, Jian
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7763434/
https://ncbi.nlm.nih.gov/pubmed/33322417
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20247104
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