A1 Journal article (refereed), original research

Visual measurement and tracking in laser hybrid welding

Publication Details
Authors: Fennander Henri, Kyrki Ville, Fellman Anna, Salminen Antti, Kälviäinen Heikki
Publication year: 2009
Language: English
Related Journal or Series Information: Machine Vision and Applications
Volume number: 20
Issue number: 2
Start page: 103
End page: 118
ISSN: 0932-8092
eISSN: 1432-1769
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

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.

Last updated on 2017-22-03 at 16:00