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Título : Assessment of resistance spot welding quality based on ultrasonictesting and tree-based techniques
Autor : Martín, Óscar
Pereda, María
Santos Martín, José Ignacio
Galán Ordax, José Manuel
Publicado en: Journal of Materials Processing Technology. 2014, V. 214, n. 11, p. 2478–2487
Editorial : Elsevier
Fecha de publicación : nov-2014
ISSN : 0924-0136
DOI: 10.1016/j.jmatprotec.2014.05.021
Resumen : Classification 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 interpret
Palabras clave: Resistance spot welding
Non-destructive ultrasonic testing
Random forest technique
CART trees
Classification
Quality control
Materia: Empresas-Gestión
Industrial management
URI : http://hdl.handle.net/10259/3837
Versión del editor: http://dx.doi.org/10.1016/j.jmatprotec.2014.05.021
Aparece en las colecciones: Artículos Organización de Empresas

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