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Use of Support Vector Machines for Defect Detection of Metal Bellows Welding
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 Title & Authors
Use of Support Vector Machines for Defect Detection of Metal Bellows Welding
Park, Min-Chul; Byun, Young-Tae; Kim, Dong-Won;
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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.
Metal Bellows Welding;Support Vector Machines;Defect Detection;
 Cited by
V. Vapnik, The Nature of Statistical Learning Theory, New York, John Wiley, 1995

W. Wang, Z. Xu, "A heuristic training for support vector regression," Neurocomputing. 61, 259-275, 2004 crossref(new window)

M. Matsumoto, J. Hori, "Classification of silent speech usisng support vector machine and relevance vector machine," Applied Soft Comput., 20, 95-102, 2014 crossref(new window)

S. Ercan, G. Kayakutlu, "Patent value anaysis using support vector machines," Soft Comput., 18, 313-328, 2014 crossref(new window)

D.T. Lin, D.C. Pan, "Integrating a mixed-feature model and multiclass support vector machine for facial expression recognition," Integr Comput-Aid E. 16, 61-74, 2009


S. Gunn., Support vector machines for classification and regression, ISIS Technical Report, Image Speech & Intelligent Systems Group, University of Southampton, England, 1998

D. Casali, G. Costantini, R. Perfetti, and E. Ricci, "Associative Memory Design Using Support Vector Machines," IEEE Trans. Neural Networks, 17, 5, 1165-1174, 2006 crossref(new window)

Dong W. Kim, S-J seo, C. W. Silva, G. T. Park, "Use of Support Vector Regression in Stable Trajectory Generation for Walking Humanoid Robots," ETRI J. 31, 5, 565-575, 2009 crossref(new window)