Artificial Immune Systems with Negative Selection Applied to Health Monitoring of Aeronautical Structures

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Data

2014-01-01

Autores

Anjos Lima, Fernando Parra dos [UNESP]
Chavarette, Fabio Roberto
Santos e Souza, Adriano dos [UNESP]
Frutuoso de Souza, Simone Silva
Martins Lopes, Mara Lucia
Tan, J.

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Editor

Trans Tech Publications Ltd

Resumo

In 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.

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Palavras-chave

Health Monitoring, Aeronautical structures, Artificial Immune Systems, Negative Selection Algorithm

Como citar

Applied Mechanics, Fluid And Solid Mechanics. Stafa-zurich: Trans Tech Publications Ltd, v. 871, p. 283-289, 2014.