Anjos Lima, Fernando Parra dos [UNESP]Chavarette, Fabio RobertoSantos e Souza, Adriano dos [UNESP]Frutuoso de Souza, Simone SilvaMartins Lopes, Mara LuciaTan, J.2014-12-032014-12-032014-01-01Applied Mechanics, Fluid And Solid Mechanics. Stafa-zurich: Trans Tech Publications Ltd, v. 871, p. 283-289, 2014.1022-6680http://hdl.handle.net/11449/113640In 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.283-289engHealth MonitoringAeronautical structuresArtificial Immune SystemsNegative Selection AlgorithmArtificial Immune Systems with Negative Selection Applied to Health Monitoring of Aeronautical StructuresTrabalho apresentado em evento10.4028/www.scientific.net/AMR.871.283WOS:000335881000050Acesso aberto980342667222180257233598853653390000-0002-1203-7586