Fuzzy logic system applied to classification problems in railways

Detalhes bibliográficos
Autor(a) principal: Aguiar, Eduardo Pestana de
Data de Publicação: 2016
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFJF
Texto Completo: https://repositorio.ufjf.br/jspui/handle/ufjf/3627
Resumo: -
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spelling Ribeiro, Moisés Vidalhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794613D7Vellasco, Marley Maria Bernardes Rebuzzihttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781818T3Amaral, Jorge Luís Machado dohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4791752H6Caminhas, Walmir Matoshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4782544Z2Marcato, André Luís Marqueshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4737297A6Oliveira, Leonardo Willer dehttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4711128E4http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4236602D7Aguiar, Eduardo Pestana de2017-03-13T17:18:31Z2017-03-102017-03-13T17:18:31Z2016-09-26https://repositorio.ufjf.br/jspui/handle/ufjf/3627-This thesis presents new fuzzy models applied to classification problems. With this regards, we introduce the use of set-membership concept, derived from the adaptive filter theory, into the training procedure of type-1 and singleton/non-singleton fuzzy logic systems, in order to reduce computational complexity and to increase convergence speed. Also, we present different criteria for using together with set-membership. Furthermore, we discuss the usefulness of delta rule delta, local Lipschitz estimation, variable step size and variable step size adaptive algorithms to yield additional improvement in terms of computational complexity reduction and convergence speed. Another important contribution of this thesis is to address the height type-reduction and to propose a modified version of interval singleton type-2 fuzzy logic system, so−called upper and lower singleton type-2 fuzzy logic system. The obtained results are compared with other models reported in the literature, demonstrating the effectiveness of the proposed classifiers and revealing that the proposals are able to properly handle with uncertainties associated with the measurements and with the data that are used to tune the parameters of the model. Based on data set provided by a Brazilian railway company, the models outlined above are applied in the classification of three possible faults and the normal condition of the switch machine, which is an equipment used for handling railroad switches. Finally, this thesis discusses the use of set-membership concept into the training procedure of an interval and singleton type-2 fuzzy logic system and of an upper and lower singleton type-2 fuzzy logic system, aiming to reduce computational complexity and to increase the convergence speed and the classification ratio. Also, we discuss the adoption of different criteria together with set-membership based-techniques. The performance is based on the data set composed of images provided by the same Brazilian railway company, which covers the four possible rail head defects and the normal condition of the rail head. The reported results show that the proposed models result in improved convergence speed, slightly higher classification ratio and remarkable computation complexity reduction when we limit the number of epochs for training, which may be required due to real time constraint or low computational resource availability.porUniversidade Federal de Juiz de Fora (UFJF)Programa de Pós-graduação em Engenharia ElétricaUFJFBrasilFaculdade de EngenhariaCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAType-2 fuzzy logic systemsAdaptive algorithmsClassificationRailwayFuzzy logic system applied to classification problems in railwaysinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFJFinstname:Universidade Federal de Juiz de Fora (UFJF)instacron:UFJFTHUMBNAILeduardopestanadeaguiar.pdf.jpgeduardopestanadeaguiar.pdf.jpgGenerated Thumbnailimage/jpeg1106https://repositorio.ufjf.br/jspui/bitstream/ufjf/3627/4/eduardopestanadeaguiar.pdf.jpg288d1d6b886127d0013e7a7f3f336756MD54ORIGINALeduardopestanadeaguiar.pdfeduardopestanadeaguiar.pdfapplication/pdf7884545https://repositorio.ufjf.br/jspui/bitstream/ufjf/3627/1/eduardopestanadeaguiar.pdf182caace21281f7afce6554505811116MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-82197https://repositorio.ufjf.br/jspui/bitstream/ufjf/3627/2/license.txt000e18a5aee6ca21bb5811ddf55fc37bMD52TEXTeduardopestanadeaguiar.pdf.txteduardopestanadeaguiar.pdf.txtExtracted texttext/plain172340https://repositorio.ufjf.br/jspui/bitstream/ufjf/3627/3/eduardopestanadeaguiar.pdf.txt2ff041ab491f9ced4694e926aa52fb3bMD53ufjf/36272019-06-16 05:42:03.552oai:hermes.cpd.ufjf.br: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Repositório InstitucionalPUBhttps://repositorio.ufjf.br/oai/requestopendoar:2019-06-16T08:42:03Repositório Institucional da UFJF - Universidade Federal de Juiz de Fora (UFJF)false
dc.title.pt_BR.fl_str_mv Fuzzy logic system applied to classification problems in railways
title Fuzzy logic system applied to classification problems in railways
spellingShingle Fuzzy logic system applied to classification problems in railways
Aguiar, Eduardo Pestana de
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Type-2 fuzzy logic systems
Adaptive algorithms
Classification
Railway
title_short Fuzzy logic system applied to classification problems in railways
title_full Fuzzy logic system applied to classification problems in railways
title_fullStr Fuzzy logic system applied to classification problems in railways
title_full_unstemmed Fuzzy logic system applied to classification problems in railways
title_sort Fuzzy logic system applied to classification problems in railways
author Aguiar, Eduardo Pestana de
author_facet Aguiar, Eduardo Pestana de
author_role author
dc.contributor.advisor1.fl_str_mv Ribeiro, Moisés Vidal
dc.contributor.advisor1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794613D7
dc.contributor.advisor-co1.fl_str_mv Vellasco, Marley Maria Bernardes Rebuzzi
dc.contributor.advisor-co1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781818T3
dc.contributor.referee1.fl_str_mv Amaral, Jorge Luís Machado do
dc.contributor.referee1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4791752H6
dc.contributor.referee2.fl_str_mv Caminhas, Walmir Matos
dc.contributor.referee2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4782544Z2
dc.contributor.referee3.fl_str_mv Marcato, André Luís Marques
dc.contributor.referee3Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4737297A6
dc.contributor.referee4.fl_str_mv Oliveira, Leonardo Willer de
dc.contributor.referee4Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4711128E4
dc.contributor.authorLattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4236602D7
dc.contributor.author.fl_str_mv Aguiar, Eduardo Pestana de
contributor_str_mv Ribeiro, Moisés Vidal
Vellasco, Marley Maria Bernardes Rebuzzi
Amaral, Jorge Luís Machado do
Caminhas, Walmir Matos
Marcato, André Luís Marques
Oliveira, Leonardo Willer de
dc.subject.cnpq.fl_str_mv CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
topic CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Type-2 fuzzy logic systems
Adaptive algorithms
Classification
Railway
dc.subject.por.fl_str_mv Type-2 fuzzy logic systems
Adaptive algorithms
Classification
Railway
description -
publishDate 2016
dc.date.issued.fl_str_mv 2016-09-26
dc.date.accessioned.fl_str_mv 2017-03-13T17:18:31Z
dc.date.available.fl_str_mv 2017-03-10
2017-03-13T17:18:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.ufjf.br/jspui/handle/ufjf/3627
url https://repositorio.ufjf.br/jspui/handle/ufjf/3627
dc.language.iso.fl_str_mv por
language por
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 Juiz de Fora (UFJF)
dc.publisher.program.fl_str_mv Programa de Pós-graduação em Engenharia Elétrica
dc.publisher.initials.fl_str_mv UFJF
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Faculdade de Engenharia
publisher.none.fl_str_mv Universidade Federal de Juiz de Fora (UFJF)
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFJF
instname:Universidade Federal de Juiz de Fora (UFJF)
instacron:UFJF
instname_str Universidade Federal de Juiz de Fora (UFJF)
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institution UFJF
reponame_str Repositório Institucional da UFJF
collection Repositório Institucional da UFJF
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