An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Veras |
Texto Completo: | https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46137 |
Resumo: | This paper presents a new hybrid methodology to diagnose failures in aeronautical and civil structures using as a tool the Perceptron multi-layer artificial neural networks and ARTMAP-Fuzzy and the wavelet transform. The main application of this hybrid methodology. The main application of this methodology is the auxiliary structures inspection process in order to identify and characterize the flaws, as well as perform the decisions aiming at avoiding accidents or disasters. In order to evaluate this methodology, we carried out the modeling and simulation of signals from a numerical model of an aluminum beam and a building. The results demonstrate the robustness and accuracy methodology. |
id |
VERACRUZ-0_df05132f7861a6229132b42364f5a6e8 |
---|---|
oai_identifier_str |
oai:ojs2.ojs.brazilianjournals.com.br:article/46137 |
network_acronym_str |
VERACRUZ-0 |
network_name_str |
Revista Veras |
repository_id_str |
|
spelling |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civishybrid methodologystructural health monitoringintelligent systems.This paper presents a new hybrid methodology to diagnose failures in aeronautical and civil structures using as a tool the Perceptron multi-layer artificial neural networks and ARTMAP-Fuzzy and the wavelet transform. The main application of this hybrid methodology. The main application of this methodology is the auxiliary structures inspection process in order to identify and characterize the flaws, as well as perform the decisions aiming at avoiding accidents or disasters. In order to evaluate this methodology, we carried out the modeling and simulation of signals from a numerical model of an aluminum beam and a building. The results demonstrate the robustness and accuracy methodology.Brazilian Journals Publicações de Periódicos e Editora Ltda.2022-04-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/4613710.34117/bjdv8n4-102Brazilian Journal of Development; Vol. 8 No. 4 (2022); 24283-24300Brazilian Journal of Development; Vol. 8 Núm. 4 (2022); 24283-24300Brazilian Journal of Development; v. 8 n. 4 (2022); 24283-243002525-8761reponame:Revista Verasinstname:Instituto Superior de Educação Vera Cruz (VeraCruz)instacron:VERACRUZenghttps://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46137/pdfhttps://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46137/pdf_1Copyright (c) 2022 Brazilian Journal of Developmentinfo:eu-repo/semantics/openAccessLima, Fernando Parra dos AnjosSouza, Simone Silva Frutuoso deChavarette, Fábio Roberto2022-06-22T19:38:38Zoai:ojs2.ojs.brazilianjournals.com.br:article/46137Revistahttp://site.veracruz.edu.br:8087/instituto/revistaveras/index.php/revistaveras/PRIhttp://site.veracruz.edu.br:8087/instituto/revistaveras/index.php/revistaveras/oai||revistaveras@veracruz.edu.br2236-57292236-5729opendoar:2024-10-15T16:22:21.154733Revista Veras - Instituto Superior de Educação Vera Cruz (VeraCruz)false |
dc.title.none.fl_str_mv |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis |
title |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis |
spellingShingle |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis Lima, Fernando Parra dos Anjos hybrid methodology structural health monitoring intelligent systems. |
title_short |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis |
title_full |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis |
title_fullStr |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis |
title_full_unstemmed |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis |
title_sort |
An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis |
author |
Lima, Fernando Parra dos Anjos |
author_facet |
Lima, Fernando Parra dos Anjos Souza, Simone Silva Frutuoso de Chavarette, Fábio Roberto |
author_role |
author |
author2 |
Souza, Simone Silva Frutuoso de Chavarette, Fábio Roberto |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Lima, Fernando Parra dos Anjos Souza, Simone Silva Frutuoso de Chavarette, Fábio Roberto |
dc.subject.por.fl_str_mv |
hybrid methodology structural health monitoring intelligent systems. |
topic |
hybrid methodology structural health monitoring intelligent systems. |
description |
This paper presents a new hybrid methodology to diagnose failures in aeronautical and civil structures using as a tool the Perceptron multi-layer artificial neural networks and ARTMAP-Fuzzy and the wavelet transform. The main application of this hybrid methodology. The main application of this methodology is the auxiliary structures inspection process in order to identify and characterize the flaws, as well as perform the decisions aiming at avoiding accidents or disasters. In order to evaluate this methodology, we carried out the modeling and simulation of signals from a numerical model of an aluminum beam and a building. The results demonstrate the robustness and accuracy methodology. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46137 10.34117/bjdv8n4-102 |
url |
https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46137 |
identifier_str_mv |
10.34117/bjdv8n4-102 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46137/pdf https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46137/pdf_1 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Brazilian Journal of Development info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Brazilian Journal of Development |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Journals Publicações de Periódicos e Editora Ltda. |
publisher.none.fl_str_mv |
Brazilian Journals Publicações de Periódicos e Editora Ltda. |
dc.source.none.fl_str_mv |
Brazilian Journal of Development; Vol. 8 No. 4 (2022); 24283-24300 Brazilian Journal of Development; Vol. 8 Núm. 4 (2022); 24283-24300 Brazilian Journal of Development; v. 8 n. 4 (2022); 24283-24300 2525-8761 reponame:Revista Veras instname:Instituto Superior de Educação Vera Cruz (VeraCruz) instacron:VERACRUZ |
instname_str |
Instituto Superior de Educação Vera Cruz (VeraCruz) |
instacron_str |
VERACRUZ |
institution |
VERACRUZ |
reponame_str |
Revista Veras |
collection |
Revista Veras |
repository.name.fl_str_mv |
Revista Veras - Instituto Superior de Educação Vera Cruz (VeraCruz) |
repository.mail.fl_str_mv |
||revistaveras@veracruz.edu.br |
_version_ |
1813645590610837504 |