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dc.contributor.authorAnabitarte García, Francisco 
dc.contributor.authorMirapeix Serrano, Jesús María 
dc.contributor.authorConde Portilla, Olga María 
dc.contributor.authorCubillas de Cos, Ana María
dc.contributor.authorRodríguez Cobo, Luis 
dc.contributor.authorGalíndez Jamioy, Carlos Augusto
dc.contributor.authorCobo García, Adolfo 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2013-06-27T07:03:41Z
dc.date.available2013-06-27T07:03:41Z
dc.date.issued2010-09-08
dc.identifier.issn1996-756X
dc.identifier.issn0277-786X
dc.identifier.otherTEC2007-67987-C02-01es_ES
dc.identifier.urihttp://hdl.handle.net/10902/2526
dc.description.abstractWelding 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.es_ES
dc.description.sponsorshipThis work has been co-supported by the Spanish Government through the project TEC2007-67987-C02-01 and the grant AP2007-02230.es_ES
dc.format.extent4 p.es_ES
dc.language.isoenges_ES
dc.publisherSPIE Society of Photo-Optical Instrumentation Engineerses_ES
dc.rights© 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.es_ES
dc.sourceProceedings of SPIE, 2010, vol. 7653, 765347es_ES
dc.sourceFourth European Workshop on Optical Fibre Sensors, Oporto, 2010es_ES
dc.subject.otherLaser weldinges_ES
dc.subject.otherQuality monitoringes_ES
dc.subject.otherLaser induced breakdown spectroscopy (LIBS)es_ES
dc.subject.otherPlasma spectral analysises_ES
dc.subject.otherSupport vector machines (SVM)es_ES
dc.titleAutomatic classification of steel plates based on laser induced breakdown spectroscopy and support vector machineses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttp://dx.doi.org/10.1117/12.866426es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1117/12.866426
dc.type.versionpublishedVersiones_ES


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