Fault detection system for the Évora irrigation canal

Detalhes bibliográficos
Autor(a) principal: Louro, Diogo
Data de Publicação: 2012
Outros Autores: Mendes, Mário J. G. C., Valério, Duarte, Costa, José 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/10400.21/10779
Resumo: A model-based fault detection (FD) system was developed for a Simulink simulation of a four pool irrigation canal in ´Evora, Portugal. Incipient and abrupt faults in the gates, the water off-take valves and the water level sensors were considered. Neural Networks were used to model the canal and find the residue. The training algorithm employed for the NNs was found to be an important factor determining the success of the FD system.
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spelling Fault detection system for the Évora irrigation canalFault detectionFault-tolerant systemsControl applicationsNeural networksIrrigation canalsA model-based fault detection (FD) system was developed for a Simulink simulation of a four pool irrigation canal in ´Evora, Portugal. Incipient and abrupt faults in the gates, the water off-take valves and the water level sensors were considered. Neural Networks were used to model the canal and find the residue. The training algorithm employed for the NNs was found to be an important factor determining the success of the FD system.ElsevierRCIPLLouro, DiogoMendes, Mário J. G. C.Valério, DuarteCosta, José Sá da2019-12-02T11:31:45Z2012-012012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/10779engLOURO, Diogo; [et al] – Fault detection system for the Évora irrigation canal. IFAC Proceedings Volumes. ISSN 1474-6670. Vol. 45, N.º 20 (2012), pp. 750-7551474-6670https://doi.org/10.3182/20120829-3-MX-2028.00284metadata 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:RCAAP2023-08-03T10:01:12Zoai:repositorio.ipl.pt:10400.21/10779Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:19:07.773079Repositório 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 Fault detection system for the Évora irrigation canal
title Fault detection system for the Évora irrigation canal
spellingShingle Fault detection system for the Évora irrigation canal
Louro, Diogo
Fault detection
Fault-tolerant systems
Control applications
Neural networks
Irrigation canals
title_short Fault detection system for the Évora irrigation canal
title_full Fault detection system for the Évora irrigation canal
title_fullStr Fault detection system for the Évora irrigation canal
title_full_unstemmed Fault detection system for the Évora irrigation canal
title_sort Fault detection system for the Évora irrigation canal
author Louro, Diogo
author_facet Louro, Diogo
Mendes, Mário J. G. C.
Valério, Duarte
Costa, José Sá da
author_role author
author2 Mendes, Mário J. G. C.
Valério, Duarte
Costa, José Sá da
author2_role author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Louro, Diogo
Mendes, Mário J. G. C.
Valério, Duarte
Costa, José Sá da
dc.subject.por.fl_str_mv Fault detection
Fault-tolerant systems
Control applications
Neural networks
Irrigation canals
topic Fault detection
Fault-tolerant systems
Control applications
Neural networks
Irrigation canals
description A model-based fault detection (FD) system was developed for a Simulink simulation of a four pool irrigation canal in ´Evora, Portugal. Incipient and abrupt faults in the gates, the water off-take valves and the water level sensors were considered. Neural Networks were used to model the canal and find the residue. The training algorithm employed for the NNs was found to be an important factor determining the success of the FD system.
publishDate 2012
dc.date.none.fl_str_mv 2012-01
2012-01-01T00:00:00Z
2019-12-02T11:31:45Z
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/10400.21/10779
url http://hdl.handle.net/10400.21/10779
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv LOURO, Diogo; [et al] – Fault detection system for the Évora irrigation canal. IFAC Proceedings Volumes. ISSN 1474-6670. Vol. 45, N.º 20 (2012), pp. 750-755
1474-6670
https://doi.org/10.3182/20120829-3-MX-2028.00284
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
repository.mail.fl_str_mv
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