首页|Findings from Edf R&D Yields New Findings on Machine Learning (Development of a Machine Learning Model for Deviation From Trajectory Detection In Multi-pass Tig Welding In a Narrow Gap)
Findings from Edf R&D Yields New Findings on Machine Learning (Development of a Machine Learning Model for Deviation From Trajectory Detection In Multi-pass Tig Welding In a Narrow Gap)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingoriginating in Chatou, France, by NewsRx journalists, research stated, “This paper presents a novel approachto detect deviations in welding trajectory, using a Machine Learning model that predicts the occurrenceof defects during narrow gap operations. A regression model is developed and trained using experimentaldata acquired from a number of synchronised sensors used in the TIG process with filler metal.”
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