Investigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubes

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dc.contributor.authorDe Alcantara Jr., Naasson P. [UNESP]
dc.contributor.authorDe Carvalho, Alexandre M. [UNESP]
dc.contributor.authorUlson, Jose Alfredo Covolan [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:20:23Z
dc.date.available2014-05-27T11:20:23Z
dc.date.issued2002-01-01
dc.description.abstractThis work presents an investigation into the use of the finite element method and artificial neural networks in the identification of defects in industrial plants metallic tubes, due to the aggressive actions of the fluids contained by them, and/or atmospheric agents. The methodology used in this study consists of simulating a very large number of defects in a metallic tube, using the finite element method. Both variations in width and height of the defects are considered. Then, the obtained results are used to generate a set of vectors for the training of a perceptron multilayer artificial neural network. Finally, the obtained neural network is used to classify a group of new defects, simulated by the finite element method, but that do not belong to the original dataset. The reached results demonstrate the efficiency of the proposed approach, and encourage future works on this subject.en
dc.description.affiliationElectrical Engineering Department São Paulo State Univ.-UNESP, 17033-360 - Bauru - SP
dc.description.affiliationUnespElectrical Engineering Department São Paulo State Univ.-UNESP, 17033-360 - Bauru - SP
dc.format.extent1450-1454
dc.identifierhttp://dx.doi.org/10.1109/IJCNN.2002.1007730
dc.identifier.citationProceedings of the International Joint Conference on Neural Networks, v. 2, p. 1450-1454.
dc.identifier.doi10.1109/IJCNN.2002.1007730
dc.identifier.lattes4517057121462258
dc.identifier.scopus2-s2.0-0036088752
dc.identifier.urihttp://hdl.handle.net/11449/66770
dc.identifier.wosWOS:000177402800259
dc.language.isoeng
dc.relation.ispartofProceedings of the International Joint Conference on Neural Networks
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAgents
dc.subjectComputer simulation
dc.subjectFinite element method
dc.subjectLeakage (fluid)
dc.subjectNondestructive examination
dc.subjectTubes (components)
dc.subjectAtmospheric tubes
dc.subjectMetallic tubes
dc.subjectMultilayer neural networks
dc.titleInvestigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubesen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes4517057121462258
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Baurupt

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Artigos - Engenharia Elétrica - FEB