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Artículo
Neural network monitoring of resistance welding processes
dc.creator | Quero Reboul, José Manuel | |
dc.creator | Millán Vázquez de la Torre, Rafael Luis | |
dc.creator | García Franquelo, Leopoldo | |
dc.creator | Cañas Delgado, José | |
dc.date.accessioned | 2015-05-21T14:34:07Z | |
dc.date.available | 2015-05-21T14:34:07Z | |
dc.date.issued | 1994 | |
dc.identifier.issn | 0950-7116 | es |
dc.identifier.uri | http://hdl.handle.net/11441/24969 | |
dc.description.abstract | 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. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.relation.ispartof | Welding international, 8(12) | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Neural network monitoring of resistance welding processes | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Electrónica | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Mecánica de Medios Continuos y Teoría de Estructuras | |
dc.relation.publisherversion | 10.1080/09507119409548730 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/24969 |
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