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Neural network monitoring of resistance welding processes

Opened Access Neural network monitoring of resistance welding processes
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Autor: Quero Reboul, José Manuel
Millán Vázquez de la Torre, Rafael Luis
García Franquelo, Leopoldo
Cañas, J.
Departamento: Universidad de Sevilla. Departamento de Ingeniería Electrónica
Fecha: 1994
Publicado en: Welding international, 8(12)
Tipo de documento: Artículo
Resumen: Control of weld quality is one of the most important and complex processes to be carried out on production lines. Neural networks have shown good results in fields such as modelling and control of physical processes. It is suggested in this article that a neural classifier should be used to carry out non‐destructive on‐line analysis. This system has been developed and installed at resistance welding stations. Results confirm the validity of neural networks used for this type of application.
Tamaño: 4.687Mb
Formato: PDF

URI: http://hdl.handle.net/11441/24969

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