Automatic classification of steel plates based on laser induced breakdown spectroscopy and support vector machines

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URI: http://hdl.handle.net/10902/2526
ISSN: 1996-756X
ISSN: 0277-786X
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Autoría
Anabitarte García, FranciscoAutoridad Unican; Mirapeix Serrano, Jesús MaríaAutoridad Unican; Conde Portilla, Olga MaríaAutoridad Unican; Cubillas de Cos, Ana María; Rodríguez Cobo, LuisAutoridad Unican; Galíndez Jamioy, Carlos Augusto; Cobo García, AdolfoAutoridad Unican
Fecha
2010-09-08
Derechos
© 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Publicado en
Proceedings of SPIE, 2010, vol. 7653, 765347
Fourth European Workshop on Optical Fibre Sensors, Oporto, 2010
Editorial
SPIE Society of Photo-Optical Instrumentation Engineers
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Palabras clave
Laser welding
Quality monitoring
Laser induced breakdown spectroscopy (LIBS)
Plasma spectral analysis
Support vector machines (SVM)
Resumen/Abstract
Welding processes are one of the most widely spread industrial activities, and their quality control is an important area of research. The presence of residual traces from the protective antioxidant coating, is a problematic issue since it causes a significant reduction in the welding seam strength. In this work, a solution based on a Laser Induced Breakdown Spectroscopy (LIBS) setup and a Support Vector Machines (SVMs) classifier to detect and discriminate antioxidant coating residues in the welding area without destroying the sample before the welding procedure is proposed. This system could be an interesting and fast tool to detect aluminium impurities.
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