Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling

Detalhes bibliográficos
Autor(a) principal: Outa, Roberto
Data de Publicação: 2022
Outros Autores: Chavarette, Fabio Roberto, Mishra, Vishnu Narayan, Gonçalves, Aparecido Carlos, Garcia , Adriana, Pinto, Sandro da Silva, Rathour, Laxmi, Mishra, Lakshmi Narayan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: The Journal of Engineering and Exact Sciences
Texto Completo: https://periodicos.ufv.br/jcec/article/view/13673
Resumo: This work is of multidisciplinary concept, whose development is difficult to perform. Considering also that, in one of the steps, the similarity between the FRF of the vibration and acoustic signal is demonstrated. The objective of this work is the analysis and prognosis of the progression of failures of a pair of gears using the artificial immune system (AIS) of negative selection. In order to have this condition met, during the development of this work, the Wiener filter technique, the vibration and acoustic signal analysis (FRF), the application of negative selection AIS techniques for classification and grouping of signals were applied. The final result successfully demonstrates the effectiveness of the development process of this work and the robustness of the negative selection AIS algorithm.
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spelling Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear CouplingAnálise e Prognose de Falhas em Sistemas Híbridos Inteligentes Utilizando Bioengenharia: Acoplamento de EngrenagensPrognosis. Hybrid Systems. Gears.Prognose. Sistemas Híbridos. Engrenagens.This work is of multidisciplinary concept, whose development is difficult to perform. Considering also that, in one of the steps, the similarity between the FRF of the vibration and acoustic signal is demonstrated. The objective of this work is the analysis and prognosis of the progression of failures of a pair of gears using the artificial immune system (AIS) of negative selection. In order to have this condition met, during the development of this work, the Wiener filter technique, the vibration and acoustic signal analysis (FRF), the application of negative selection AIS techniques for classification and grouping of signals were applied. The final result successfully demonstrates the effectiveness of the development process of this work and the robustness of the negative selection AIS algorithm.Este trabalho é de conceito multidisciplinar, cujo desenvolvimento é de difícil performance. Considerando ainda que, em uma das etapas é demonstrado a similaridade entre as FRF do sinal de vibração e acústica. O objetivo deste trabalho é a análise e prognose da progressão das falhas de um par de engrenagens utilizando o sistema imunológico artificial (AIS) de seleção negativa. Para que esta condição tenha sido atendida, durante o desenvolvimento deste trabalho, foram aplicados a técnica de filtro de Wiener, a análise de sinais (FRF) de vibração e acústica, a aplicação das técnicas de AIS de seleção negativa para classificação e grupamento dos sinais. O resultado final demonstra com sucesso a eficácia do processo de desenvolvimento deste trabalho e a robustez do algoritmo de AIS de seleção negativa.Universidade Federal de Viçosa - UFV2022-01-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1367310.18540/jcecvl8iss1pp13673-01-18eThe Journal of Engineering and Exact Sciences; Vol. 8 No. 1 (2022); 13673-01-18eThe Journal of Engineering and Exact Sciences; Vol. 8 Núm. 1 (2022); 13673-01-18eThe Journal of Engineering and Exact Sciences; v. 8 n. 1 (2022); 13673-01-18e2527-1075reponame:The Journal of Engineering and Exact Sciencesinstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/jcec/article/view/13673/7110Copyright (c) 2022 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOuta, RobertoChavarette, Fabio RobertoMishra, Vishnu NarayanGonçalves, Aparecido CarlosGarcia , AdrianaPinto, Sandro da SilvaRathour, LaxmiMishra, Lakshmi Narayan2022-05-29T02:43:30Zoai:ojs.periodicos.ufv.br:article/13673Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/oai2527-10752527-1075opendoar:2022-05-29T02:43:30The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
Análise e Prognose de Falhas em Sistemas Híbridos Inteligentes Utilizando Bioengenharia: Acoplamento de Engrenagens
title Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
spellingShingle Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
Outa, Roberto
Prognosis. Hybrid Systems. Gears.
Prognose. Sistemas Híbridos. Engrenagens.
title_short Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_full Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_fullStr Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_full_unstemmed Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_sort Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
author Outa, Roberto
author_facet Outa, Roberto
Chavarette, Fabio Roberto
Mishra, Vishnu Narayan
Gonçalves, Aparecido Carlos
Garcia , Adriana
Pinto, Sandro da Silva
Rathour, Laxmi
Mishra, Lakshmi Narayan
author_role author
author2 Chavarette, Fabio Roberto
Mishra, Vishnu Narayan
Gonçalves, Aparecido Carlos
Garcia , Adriana
Pinto, Sandro da Silva
Rathour, Laxmi
Mishra, Lakshmi Narayan
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Outa, Roberto
Chavarette, Fabio Roberto
Mishra, Vishnu Narayan
Gonçalves, Aparecido Carlos
Garcia , Adriana
Pinto, Sandro da Silva
Rathour, Laxmi
Mishra, Lakshmi Narayan
dc.subject.por.fl_str_mv Prognosis. Hybrid Systems. Gears.
Prognose. Sistemas Híbridos. Engrenagens.
topic Prognosis. Hybrid Systems. Gears.
Prognose. Sistemas Híbridos. Engrenagens.
description This work is of multidisciplinary concept, whose development is difficult to perform. Considering also that, in one of the steps, the similarity between the FRF of the vibration and acoustic signal is demonstrated. The objective of this work is the analysis and prognosis of the progression of failures of a pair of gears using the artificial immune system (AIS) of negative selection. In order to have this condition met, during the development of this work, the Wiener filter technique, the vibration and acoustic signal analysis (FRF), the application of negative selection AIS techniques for classification and grouping of signals were applied. The final result successfully demonstrates the effectiveness of the development process of this work and the robustness of the negative selection AIS algorithm.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-12
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://periodicos.ufv.br/jcec/article/view/13673
10.18540/jcecvl8iss1pp13673-01-18e
url https://periodicos.ufv.br/jcec/article/view/13673
identifier_str_mv 10.18540/jcecvl8iss1pp13673-01-18e
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/13673/7110
dc.rights.driver.fl_str_mv Copyright (c) 2022 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv The Journal of Engineering and Exact Sciences; Vol. 8 No. 1 (2022); 13673-01-18e
The Journal of Engineering and Exact Sciences; Vol. 8 Núm. 1 (2022); 13673-01-18e
The Journal of Engineering and Exact Sciences; v. 8 n. 1 (2022); 13673-01-18e
2527-1075
reponame:The Journal of Engineering and Exact Sciences
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str The Journal of Engineering and Exact Sciences
collection The Journal of Engineering and Exact Sciences
repository.name.fl_str_mv The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv
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