dc.contributorUniversidade Estadual Paulista (Unesp)
dc.creatorAnjos Lima, Fernando Parra dos [UNESP]
dc.creatorChavarette, Fabio Roberto
dc.creatorSantos e Souza, Adriano dos [UNESP]
dc.creatorFrutuoso de Souza, Simone Silva
dc.creatorMartins Lopes, Mara Lucia
dc.creatorTan, J.
dc.date2014-12-03T13:11:51Z
dc.date2014-12-03T13:11:51Z
dc.date2014-01-01
dc.date.accessioned2023-09-09T10:18:57Z
dc.date.available2023-09-09T10:18:57Z
dc.identifierhttp://dx.doi.org/10.4028/www.scientific.net/AMR.871.283
dc.identifierApplied Mechanics, Fluid And Solid Mechanics. Stafa-zurich: Trans Tech Publications Ltd, v. 871, p. 283-289, 2014.
dc.identifier1022-6680
dc.identifierhttp://hdl.handle.net/11449/113640
dc.identifier10.4028/www.scientific.net/AMR.871.283
dc.identifierWOS:000335881000050
dc.identifier9803426672221802
dc.identifier5723359885365339
dc.identifier0000-0002-1203-7586
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8763235
dc.descriptionIn this paper we present a system for aircraft structural health monitoring based on artificial immune systems with negative selection. Inspired by a biological process, the principle of discrimination proper/non-proper, identifies and characterizes the signs of structural failure. The main application of this method is to assist in the inspection of aircraft structures, to detect and characterize flaws and decision making in order to avoid disasters. We proposed a model of an aluminum beam to perform the tests of the method. The results obtained by this method are excellent, showing robustness and accuracy.
dc.descriptionUNESP Univ Estadual Paulista, Fac Engn Ilha Solteira FEIS, Dept Mech Engn, BR-15385000 Ilha Solteira, SP, Brazil
dc.descriptionUNESP Univ Estadual Paulista, Fac Engn Ilha Solteira FEIS, Dept Mech Engn, BR-15385000 Ilha Solteira, SP, Brazil
dc.format283-289
dc.languageeng
dc.publisherTrans Tech Publications Ltd
dc.relationApplied Mechanics, Fluid And Solid Mechanics
dc.relation0,121
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectHealth Monitoring
dc.subjectAeronautical structures
dc.subjectArtificial Immune Systems
dc.subjectNegative Selection Algorithm
dc.titleArtificial Immune Systems with Negative Selection Applied to Health Monitoring of Aeronautical Structures
dc.typeTrabalho apresentado em evento


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