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http://dx.doi.org/10.9708/jksci.2015.20.1.011

Use of Support Vector Machines for Defect Detection of Metal Bellows Welding  

Park, Min-Chul (Sensor System Research Center, KIST)
Byun, Young-Tae (Sensor System Research Center, KIST)
Kim, Dong-Won (Dept. of Digital Electronics, Inha Technical College)
Publication Information
Journal of the Korea Society of Computer and Information / v.20, no.1, 2015 , pp. 11-20 More about this Journal
Abstract
Typically welded bellows are checked with human eye and microscope, and then go through leakage test of gas. The proposed system alternates these heuristic techniques using support vector machines. Image procedures in the proposed method can cover the irregularity problem induced from human being. To get easy observation through microscope, 3D display system is also exploited. Experimental results from this automatic measurement show the welding detection is done within one tenth of permitted error range.
Keywords
Metal Bellows Welding; Support Vector Machines; Defect Detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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