Neuro-fuzzy structures in FDI systems

Detalhes bibliográficos
Autor(a) principal: Mendes, Mário J. G. C.
Data de Publicação: 2002
Outros Autores: Kowal, Marek, Korbicz, Józef, Costa, J. M. G. Sá da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/11005
Resumo: Fault diagnosis systems have an important role in industrial plants because the early fault detection and isolation (FDI) can minimize damages in the plants. The main aim of this work is to propose a two-stage neuro-fuzzy approach as a fault diagnosis system in dynamic processes. The first stage of the system is responsible for fault detection and is implemented using a neuro-fuzzy (N-F) model. The second stage of the system is responsible for fault isolation and is built using an hierarchical structure of fuzzy neural networks. The FDI system is applied to fault diagnosis in the actuators of one sugar factory.
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spelling Neuro-fuzzy structures in FDI systemsFault diagnosisNeural networkFuzzy modellingBackpropagation algorithmsHierarchical structureActuatorsFault diagnosis systems have an important role in industrial plants because the early fault detection and isolation (FDI) can minimize damages in the plants. The main aim of this work is to propose a two-stage neuro-fuzzy approach as a fault diagnosis system in dynamic processes. The first stage of the system is responsible for fault detection and is implemented using a neuro-fuzzy (N-F) model. The second stage of the system is responsible for fault isolation and is built using an hierarchical structure of fuzzy neural networks. The FDI system is applied to fault diagnosis in the actuators of one sugar factory.ElsevierRCIPLMendes, Mário J. G. C.Kowal, MarekKorbicz, JózefCosta, J. M. G. Sá da2020-01-20T11:53:02Z20022002-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/11005engMENDES, Mário J. G. C.; [et al] – Neuro-fuzzy structures in FDI systems. IFAC Proceedings Volumes. ISSN 2405-8963. Vol. 35, N.º 1 (2002), pp. 465-4702405-8963https://doi.org/10.3182/20020721-6-ES-1901.01631metadata 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:RCAAP2023-08-03T10:01:43Zoai:repositorio.ipl.pt:10400.21/11005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:19:20.730899Repositório 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-fuzzy structures in FDI systems
title Neuro-fuzzy structures in FDI systems
spellingShingle Neuro-fuzzy structures in FDI systems
Mendes, Mário J. G. C.
Fault diagnosis
Neural network
Fuzzy modelling
Backpropagation algorithms
Hierarchical structure
Actuators
title_short Neuro-fuzzy structures in FDI systems
title_full Neuro-fuzzy structures in FDI systems
title_fullStr Neuro-fuzzy structures in FDI systems
title_full_unstemmed Neuro-fuzzy structures in FDI systems
title_sort Neuro-fuzzy structures in FDI systems
author Mendes, Mário J. G. C.
author_facet Mendes, Mário J. G. C.
Kowal, Marek
Korbicz, Józef
Costa, J. M. G. Sá da
author_role author
author2 Kowal, Marek
Korbicz, Józef
Costa, J. M. G. Sá da
author2_role author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Mendes, Mário J. G. C.
Kowal, Marek
Korbicz, Józef
Costa, J. M. G. Sá da
dc.subject.por.fl_str_mv Fault diagnosis
Neural network
Fuzzy modelling
Backpropagation algorithms
Hierarchical structure
Actuators
topic Fault diagnosis
Neural network
Fuzzy modelling
Backpropagation algorithms
Hierarchical structure
Actuators
description Fault diagnosis systems have an important role in industrial plants because the early fault detection and isolation (FDI) can minimize damages in the plants. The main aim of this work is to propose a two-stage neuro-fuzzy approach as a fault diagnosis system in dynamic processes. The first stage of the system is responsible for fault detection and is implemented using a neuro-fuzzy (N-F) model. The second stage of the system is responsible for fault isolation and is built using an hierarchical structure of fuzzy neural networks. The FDI system is applied to fault diagnosis in the actuators of one sugar factory.
publishDate 2002
dc.date.none.fl_str_mv 2002
2002-01-01T00:00:00Z
2020-01-20T11:53:02Z
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/10400.21/11005
url http://hdl.handle.net/10400.21/11005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv MENDES, Mário J. G. C.; [et al] – Neuro-fuzzy structures in FDI systems. IFAC Proceedings Volumes. ISSN 2405-8963. Vol. 35, N.º 1 (2002), pp. 465-470
2405-8963
https://doi.org/10.3182/20020721-6-ES-1901.01631
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
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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