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dc.contributor.authorMartín, Óscar
dc.contributor.authorPereda, María
dc.contributor.authorSantos Martín, José Ignacio 
dc.contributor.authorGalán Ordax, José Manuel 
dc.date.accessioned2015-09-08T09:37:52Z
dc.date.available2015-09-08T09:37:52Z
dc.date.issued2014-11
dc.identifier.issn0924-0136
dc.identifier.urihttp://hdl.handle.net/10259/3837
dc.description.abstractClassification and regression tree (CART) and random forest techniques were proposed as pattern recognition tools for classification of ultrasonic oscillograms of resistance spot welding (RSW) joints. The results showed that CART models produced an acceptable error rate with high interpretability. These features may be used to understand and control the decision processes, instruct other human operators, compare margins of safety or modify them depending on the criticality of the industrial process. Compared with CART trees, random forests reduced the error rate at the cost of decreasing decision interpretability. The use of the agreement of the forest was proposed as a measure to reduce the workload of human operators, who would only have to focus on the analysis of ultrasonic oscillograms that are difficult to interpreten
dc.description.sponsorshipMICINN (Project CSD2010‐00034, SimulPast CONSOLIDER‐INGENIO 2010), Junta de Castilla y León (GREX251‐2009)e
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherElsevieren
dc.relation.ispartofJournal of Materials Processing Technology. 2014, V. 214, n. 11, p. 2478–2487en
dc.subjectResistance spot weldingen
dc.subjectNon-destructive ultrasonic testingen
dc.subjectRandom forest techniqueen
dc.subjectCART treesen
dc.subjectClassificationen
dc.subjectQuality controlen
dc.subject.otherEmpresas-Gestiónes
dc.subject.otherIndustrial managementen
dc.titleAssessment of resistance spot welding quality based on ultrasonictesting and tree-based techniquesen
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jmatprotec.2014.05.021
dc.identifier.doi10.1016/j.jmatprotec.2014.05.021
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN/CSD2010‐00034
dc.relation.projectIDinfo:eu-repo/grantAgreement/JCyL/GREX251‐2009
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersionen


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