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

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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Bibliographic Details
Main Authors: Yinshui He, Daize Li, Zengxi Pan, Guohong Ma, Lesheng Yu, Haitao Yuan, Jian Le
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
weld bead geometry features
visual all-position measurement
thick plate gas metal arc welding
machine vision and learning
fault detection and diagnosis
Online Access:https://www.mdpi.com/1424-8220/20/24/7104

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