Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study

Detalhes bibliográficos
Autor(a) principal: Calado, João Manuel Ferreira
Data de Publicação: 2002
Outros Autores: Mendes, Mário J. G. C., Costa, J. M. G. Sá da, Korbicz, Józef
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/10979
Resumo: In this paper a hierarchical structure of several artificial neural networks has been developed for fault isolation purposes. Two different approaches have been considered. The hierarchical structure is the same for both approaches, but one uses multi-layer feedforward artificial neural networks and the other uses fuzzy neural networks. A result comparison between the two architectures will be presented. It is aimed to isolate multiple simultaneous abrupt and incipient faults from only single abrupt fault symptoms. A continuous binary distillation column has been used as test bed of the current approaches.
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spelling Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case studyFault isolationNeural networksFuzzy systemsHierarchical structuresFuzzificationWhite noiseIn this paper a hierarchical structure of several artificial neural networks has been developed for fault isolation purposes. Two different approaches have been considered. The hierarchical structure is the same for both approaches, but one uses multi-layer feedforward artificial neural networks and the other uses fuzzy neural networks. A result comparison between the two architectures will be presented. It is aimed to isolate multiple simultaneous abrupt and incipient faults from only single abrupt fault symptoms. A continuous binary distillation column has been used as test bed of the current approaches.ElsevierRCIPLCalado, João Manuel FerreiraMendes, Mário J. G. C.Costa, J. M. G. Sá daKorbicz, Józef2020-01-13T15:12:59Z20022002-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/10979engCALADO, João M. F.; [et al] – Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study. IFAC Proceedings Volumes. ISSN 2405-8963. Vol. 35, N.º 1 (2002), pp. 453-4582405-8963https://doi.org/10.3182/20020721-6-ES-1901.01629metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:01:40Zoai:repositorio.ipl.pt:10400.21/10979Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:19:19.479210Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study
title Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study
spellingShingle Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study
Calado, João Manuel Ferreira
Fault isolation
Neural networks
Fuzzy systems
Hierarchical structures
Fuzzification
White noise
title_short Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study
title_full Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study
title_fullStr Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study
title_full_unstemmed Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study
title_sort Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study
author Calado, João Manuel Ferreira
author_facet Calado, João Manuel Ferreira
Mendes, Mário J. G. C.
Costa, J. M. G. Sá da
Korbicz, Józef
author_role author
author2 Mendes, Mário J. G. C.
Costa, J. M. G. Sá da
Korbicz, Józef
author2_role author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Calado, João Manuel Ferreira
Mendes, Mário J. G. C.
Costa, J. M. G. Sá da
Korbicz, Józef
dc.subject.por.fl_str_mv Fault isolation
Neural networks
Fuzzy systems
Hierarchical structures
Fuzzification
White noise
topic Fault isolation
Neural networks
Fuzzy systems
Hierarchical structures
Fuzzification
White noise
description In this paper a hierarchical structure of several artificial neural networks has been developed for fault isolation purposes. Two different approaches have been considered. The hierarchical structure is the same for both approaches, but one uses multi-layer feedforward artificial neural networks and the other uses fuzzy neural networks. A result comparison between the two architectures will be presented. It is aimed to isolate multiple simultaneous abrupt and incipient faults from only single abrupt fault symptoms. A continuous binary distillation column has been used as test bed of the current approaches.
publishDate 2002
dc.date.none.fl_str_mv 2002
2002-01-01T00:00:00Z
2020-01-13T15:12:59Z
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/10400.21/10979
url http://hdl.handle.net/10400.21/10979
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv CALADO, João M. F.; [et al] – Neuro and neuro-fuzzy hierarchical structures comparison in FDI: a case study. IFAC Proceedings Volumes. ISSN 2405-8963. Vol. 35, N.º 1 (2002), pp. 453-458
2405-8963
https://doi.org/10.3182/20020721-6-ES-1901.01629
dc.rights.driver.fl_str_mv metadata only access
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rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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