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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/45AQ32L
Repositóriosid.inpe.br/mtc-m21d/2021/08.24.12.30   (acesso restrito)
Última Atualização2021:08.24.12.30.16 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2021/08.24.12.30.16
Última Atualização dos Metadados2022:04.03.23.14.03 (UTC) administrator
DOI10.1155/2021/9998187
ISSN1687-725X
Chave de CitaçãoFariasSaotCampShig:2021:DaDeMe
TítuloA Damage Detection Method Using Neural Network Optimized by Multiple Particle Collision Algorithm
Ano2021
Data de Acesso15 jun. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2647 KiB
2. Contextualização
Autor1 Farias, Sergio V.
2 Saotome, O.
3 Campos Velho, Haroldo Fraga de
4 Shiguemori, Elcio H.
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHC3
ORCID1 0000-0001-6753-9607
2 0000-0002-1568-9299
3 0000-0003-4968-5330
4 0000-0001-5226-0435
Grupo1
2
3 COPDT-CGIP-INPE-MCTI-GOV-BR
Afiliação1 Instituto Tecnológico de Aeronáutica (ITA)
2 Instituto Tecnológico de Aeronáutica (ITA)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto de Estudos Avançados (IEAv)
Endereço de e-Mail do Autor1 sertone@gmail.com
2
3 haroldo.camposvelho@inpe.br
RevistaJournal of Sensors
Volume2021
Páginase9998187
Histórico (UTC)2021-11-05 11:51:53 :: simone -> administrator :: 2021
2022-04-03 23:14:03 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoA critical task of structural health monitoring is damage detection and localization. Lamb wave propagation methods have been successfully applied for damage identification in plate-like structures. However, Lamb wave processing is still a challenging task due to its multimodal and dispersive characteristics. To address this issue, data-driven machine learning approaches as artificial neural network (ANN) have been proposed. However, the effectiveness of ANN can be improved based on its architecture and the learning strategy employed to train it. The present paper proposes a Multiple Particle Collision Algorithm (MPCA) to design an optimum ANN architecture to detect and locate damages in plate-like structures. For the first time in the literature, the MPCA is applied to find damages in plate-like structures. The present work uses one piezoelectric transducer to generate Lamb wave signals on an aluminum plate structure and a linear array of four transducers to capture the scattered signals. The continuous wavelet transform (CWT) processes the captured signals to estimate the time-of-flight (ToF) that is the ANN inputs. The ANN output is the damage spatial coordinates. In addition to MPCA optimization, this paper uses a quantitative entropy-based criterion to find the best mother wavelet and the scale values. The presented experimental results show that MPCA is capable of finding a simple ANN architecture with good generalization performance in the proposed damage localization application. The proposed method is compared with the 1-dimensional convolutional neural network (1D-CNN). A discussion about the advantages and limitations of the proposed method is presented.
ÁreaCOMP
ArranjoA Damage Detection...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 24/08/2021 09:30 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvofarias_damage_2021.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUES5
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.49.40 3
sid.inpe.br/bibdigital/2022/04.03.23.11 3
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository month nextedition notes number parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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