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Visual measurement and tracking in laser hybrid welding |
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| Authors: | Henri Fennander Ville Kyrki Anna Fellman Antti Salminen Heikki Kälviäinen | ||
| Affiliation: | (1) Department of Information Technology, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, Finland;(2) Department of Mechanical Engineering, Laser Processing Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland | ||
| Abstract: | This paper presents a novel system for the automatic analysis of a hybrid welding process. High-speed imaging and laser illumination are used to measure the regularity of electric arc frequency and flight directions of filler metal droplets. A fuzzy c-means clustering method is used to detect arcs and segment the video sequences. The droplets are localized by combining principal component analysis and a support vector machine classifier. The flight of a droplet is tracked using Kalman filtering. Experiments indicate that the system is able to track the flights of droplets and to determine the regularity of the arc frequency with a high accuracy if the imaging conditions are stable.
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| Keywords: | Hybrid welding Support vector machine Kalman tracking Principal component analysis Fuzzy c-means clustering | ||
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