A new fault classification approach applied to Tennessee Eastman benchmark process

Detalhes bibliográficos
Autor(a) principal: Marcos Flávio Silveira Vasconcelos D"Angelo
Data de Publicação: 2016
Outros Autores: Reinaldo Martinez Palhares, Murilo César Osório Camargos, Renato Dourado Maia, João Batista Mendes, Petr Iakovlevitch Ekel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.1016/j.asoc.2016.08.040
http://hdl.handle.net/1843/42874
Resumo: CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
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spelling 2022-07-04T14:20:10Z2022-07-04T14:20:10Z2016-1249676686https://doi.org/10.1016/j.asoc.2016.08.04015684946http://hdl.handle.net/1843/42874CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas GeraisOutra AgênciaThis study presents a data-based methodology for fault detection and isolation in dynamic systems based on fuzzy/Bayesian approach for change point detection associated with a hybrid immune/neural formulation for pattern classification applied to the Tennessee Eastman benchmark process. The fault is detected when a change occurs in the signals from the sensors and classified into one of the classes by the immune/neural formulation. The change point detection system is based on fuzzy set theory associated with the Metropolis–Hastings algorithm and the classification system, the main contribution of this paper is based on a representation which combines the ClonALG algorithm with the Kohonen neural network.engUniversidade Federal de Minas GeraisUFMGBrasilICA - INSTITUTO DE CIÊNCIAS AGRÁRIASApplied Soft ComputingEngenharia elétricaAlgoritmosRedes neurais (Computação)Benchmarking (Administração)Classificação de falhasDetecção de FalhasDiagnóstico de FalhasAbordagem ImunoinspiradaAbordagem Fuzzy/BayesianaInteligência ComputacionalA new fault classification approach applied to Tennessee Eastman benchmark processinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.sciencedirect.com/science/article/pii/S1568494616304343#!Marcos Flávio Silveira Vasconcelos D"AngeloReinaldo Martinez PalharesMurilo César Osório CamargosRenato Dourado MaiaJoão Batista MendesPetr Iakovlevitch Ekelinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/42874/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALA new fault classification approach applied to Tennessee Eastman benchmark process.pdfA new fault classification approach applied to Tennessee Eastman benchmark process.pdfapplication/pdf2725432https://repositorio.ufmg.br/bitstream/1843/42874/2/A%20new%20fault%20classification%20approach%20applied%20to%20Tennessee%20Eastman%20benchmark%20process.pdf63b77f0ca8bb77b469cef0759bc9b6ddMD521843/428742022-07-04 11:20:10.57oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-07-04T14:20:10Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv A new fault classification approach applied to Tennessee Eastman benchmark process
title A new fault classification approach applied to Tennessee Eastman benchmark process
spellingShingle A new fault classification approach applied to Tennessee Eastman benchmark process
Marcos Flávio Silveira Vasconcelos D"Angelo
Classificação de falhas
Detecção de Falhas
Diagnóstico de Falhas
Abordagem Imunoinspirada
Abordagem Fuzzy/Bayesiana
Inteligência Computacional
Engenharia elétrica
Algoritmos
Redes neurais (Computação)
Benchmarking (Administração)
title_short A new fault classification approach applied to Tennessee Eastman benchmark process
title_full A new fault classification approach applied to Tennessee Eastman benchmark process
title_fullStr A new fault classification approach applied to Tennessee Eastman benchmark process
title_full_unstemmed A new fault classification approach applied to Tennessee Eastman benchmark process
title_sort A new fault classification approach applied to Tennessee Eastman benchmark process
author Marcos Flávio Silveira Vasconcelos D"Angelo
author_facet Marcos Flávio Silveira Vasconcelos D"Angelo
Reinaldo Martinez Palhares
Murilo César Osório Camargos
Renato Dourado Maia
João Batista Mendes
Petr Iakovlevitch Ekel
author_role author
author2 Reinaldo Martinez Palhares
Murilo César Osório Camargos
Renato Dourado Maia
João Batista Mendes
Petr Iakovlevitch Ekel
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Marcos Flávio Silveira Vasconcelos D"Angelo
Reinaldo Martinez Palhares
Murilo César Osório Camargos
Renato Dourado Maia
João Batista Mendes
Petr Iakovlevitch Ekel
dc.subject.por.fl_str_mv Classificação de falhas
Detecção de Falhas
Diagnóstico de Falhas
Abordagem Imunoinspirada
Abordagem Fuzzy/Bayesiana
Inteligência Computacional
topic Classificação de falhas
Detecção de Falhas
Diagnóstico de Falhas
Abordagem Imunoinspirada
Abordagem Fuzzy/Bayesiana
Inteligência Computacional
Engenharia elétrica
Algoritmos
Redes neurais (Computação)
Benchmarking (Administração)
dc.subject.other.pt_BR.fl_str_mv Engenharia elétrica
Algoritmos
Redes neurais (Computação)
Benchmarking (Administração)
description CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
publishDate 2016
dc.date.issued.fl_str_mv 2016-12
dc.date.accessioned.fl_str_mv 2022-07-04T14:20:10Z
dc.date.available.fl_str_mv 2022-07-04T14:20:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/42874
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.1016/j.asoc.2016.08.040
dc.identifier.issn.pt_BR.fl_str_mv 15684946
url https://doi.org/10.1016/j.asoc.2016.08.040
http://hdl.handle.net/1843/42874
identifier_str_mv 15684946
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Applied Soft Computing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/42874/1/License.txt
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