NDLI: Online visual quality inspection for weld seams

Content Provider	Springer Nature Link
Author	Schreiber, D. Cambrini, L. Biber, J. Sardy, B.
Copyright Year	2008
Abstract	Arc welding is a widely used technology in almost all sectors of industrial production. Many task are automatically performed by robots. This paper presents a flexible vision-based quality management system to detect defects online during the weld process. The proposed method uses a single camera on the weld arms to observe the newly welded seam behind the weld head. Two phases, training and verification, are included in the system. The quality parameters are learned from a set of welded seams (training seams), selected by a weld engineer, which show sufficient quality, and by which the measurement reference and tolerance are formed. The verification process is conducted by frame-to-frame comparison of current work with the reference. The observed features are the position and the width of the seam as well as the light distribution in the vicinity of the arc.
Starting Page	497
Ending Page	504
Page Count	8
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	42
Issue Number	5-6
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-07-10
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Digital image processing Online inspection Arc welding Machine learning Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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