A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.4028/www.scientific.net/AMM.610.253 http://hdl.handle.net/11449/171665 |
Resumo: | This article presents the application and comparison of two techniques for intelligent computing to perform the analysis of the structural integrity of an aircraft structure. In this context, a ARTMAP-Fuzzy neural network and immunological negative selection algorithm are used in the identification and characterization of structural failure. The main application of these methodologies is to assist in the inspection of aircraft structures aiming at detecting and characterize flaws and decision making. To evaluate the methodology was performed modeling and simulation of signals from a numerical model using an aluminum beam. We performed a comparative analysis of methodologies, proving the efficiency of intelligent methods in the analysis of structural integrity. The results obtained by the method show efficiency, robustness and accuracy. To Evaluate the methodology was Performed modeling and simulation of signals from the numerical model using an aluminum beam. We performed a comparative analysis of methodologies, proving the efficiency of intelligent methods in the analysis of structural integrity. The results Obtained by the methods show efficiency, robustness and accuracy. © (2014) Trans Tech Publications, Switzerland. |
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Repositório Institucional da UNESP |
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A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronauticAeronautical structuresAnalysis of structural integrityArtificial immune systemsArtificial neural networksThis article presents the application and comparison of two techniques for intelligent computing to perform the analysis of the structural integrity of an aircraft structure. In this context, a ARTMAP-Fuzzy neural network and immunological negative selection algorithm are used in the identification and characterization of structural failure. The main application of these methodologies is to assist in the inspection of aircraft structures aiming at detecting and characterize flaws and decision making. To evaluate the methodology was performed modeling and simulation of signals from a numerical model using an aluminum beam. We performed a comparative analysis of methodologies, proving the efficiency of intelligent methods in the analysis of structural integrity. The results obtained by the method show efficiency, robustness and accuracy. To Evaluate the methodology was Performed modeling and simulation of signals from the numerical model using an aluminum beam. We performed a comparative analysis of methodologies, proving the efficiency of intelligent methods in the analysis of structural integrity. The results Obtained by the methods show efficiency, robustness and accuracy. © (2014) Trans Tech Publications, Switzerland.Mechanical Engineering Department, UNESP-Univ. Estadual Paulista, Av. Brasil, 56, 15385-000, Ilha Solteira, SPElectrical Engineering Department, UNESP-Univ. Estadual Paulista, Av. Brasil, 56, 15385-000, Ilha Solteira, SPMathematics Department, UNESP-Univ. Estadual Paulista, Av. Brasil, 56, 15385-000, Ilha Solteira, SPMechanical Engineering Department, UNESP-Univ. Estadual Paulista, Av. Brasil, 56, 15385-000, Ilha Solteira, SPElectrical Engineering Department, UNESP-Univ. Estadual Paulista, Av. Brasil, 56, 15385-000, Ilha Solteira, SPMathematics Department, UNESP-Univ. Estadual Paulista, Av. Brasil, 56, 15385-000, Ilha Solteira, SPUniversidade Estadual Paulista (Unesp)Parra dos Anjos Lima, Fernando [UNESP]Roberto Chavarette, Fábio [UNESP]Silva Frutuoso de Souza, Simone [UNESP]dos Santos e Souza, Adriano [UNESP]Lúcia Martins Lopes, Mara [UNESP]2018-12-11T16:56:30Z2018-12-11T16:56:30Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject253-257application/pdfhttp://dx.doi.org/10.4028/www.scientific.net/AMM.610.253Applied Mechanics and Materials, v. 610, p. 253-257.1662-74821660-9336http://hdl.handle.net/11449/17166510.4028/www.scientific.net/AMM.610.2532-s2.0-849064920282-s2.0-84906492028.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengApplied Mechanics and Materials0,117info:eu-repo/semantics/openAccess2023-11-20T06:17:55Zoai:repositorio.unesp.br:11449/171665Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-20T06:17:55Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic |
title |
A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic |
spellingShingle |
A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic Parra dos Anjos Lima, Fernando [UNESP] Aeronautical structures Analysis of structural integrity Artificial immune systems Artificial neural networks |
title_short |
A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic |
title_full |
A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic |
title_fullStr |
A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic |
title_full_unstemmed |
A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic |
title_sort |
A comparison of methodologies for intelligent computing used to integrity analysis of a structure aeronautic |
author |
Parra dos Anjos Lima, Fernando [UNESP] |
author_facet |
Parra dos Anjos Lima, Fernando [UNESP] Roberto Chavarette, Fábio [UNESP] Silva Frutuoso de Souza, Simone [UNESP] dos Santos e Souza, Adriano [UNESP] Lúcia Martins Lopes, Mara [UNESP] |
author_role |
author |
author2 |
Roberto Chavarette, Fábio [UNESP] Silva Frutuoso de Souza, Simone [UNESP] dos Santos e Souza, Adriano [UNESP] Lúcia Martins Lopes, Mara [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Parra dos Anjos Lima, Fernando [UNESP] Roberto Chavarette, Fábio [UNESP] Silva Frutuoso de Souza, Simone [UNESP] dos Santos e Souza, Adriano [UNESP] Lúcia Martins Lopes, Mara [UNESP] |
dc.subject.por.fl_str_mv |
Aeronautical structures Analysis of structural integrity Artificial immune systems Artificial neural networks |
topic |
Aeronautical structures Analysis of structural integrity Artificial immune systems Artificial neural networks |
description |
This article presents the application and comparison of two techniques for intelligent computing to perform the analysis of the structural integrity of an aircraft structure. In this context, a ARTMAP-Fuzzy neural network and immunological negative selection algorithm are used in the identification and characterization of structural failure. The main application of these methodologies is to assist in the inspection of aircraft structures aiming at detecting and characterize flaws and decision making. To evaluate the methodology was performed modeling and simulation of signals from a numerical model using an aluminum beam. We performed a comparative analysis of methodologies, proving the efficiency of intelligent methods in the analysis of structural integrity. The results obtained by the method show efficiency, robustness and accuracy. To Evaluate the methodology was Performed modeling and simulation of signals from the numerical model using an aluminum beam. We performed a comparative analysis of methodologies, proving the efficiency of intelligent methods in the analysis of structural integrity. The results Obtained by the methods show efficiency, robustness and accuracy. © (2014) Trans Tech Publications, Switzerland. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01-01 2018-12-11T16:56:30Z 2018-12-11T16:56:30Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.4028/www.scientific.net/AMM.610.253 Applied Mechanics and Materials, v. 610, p. 253-257. 1662-7482 1660-9336 http://hdl.handle.net/11449/171665 10.4028/www.scientific.net/AMM.610.253 2-s2.0-84906492028 2-s2.0-84906492028.pdf |
url |
http://dx.doi.org/10.4028/www.scientific.net/AMM.610.253 http://hdl.handle.net/11449/171665 |
identifier_str_mv |
Applied Mechanics and Materials, v. 610, p. 253-257. 1662-7482 1660-9336 10.4028/www.scientific.net/AMM.610.253 2-s2.0-84906492028 2-s2.0-84906492028.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Applied Mechanics and Materials 0,117 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
253-257 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965011414614016 |