Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem

Detalhes bibliográficos
Autor(a) principal: Calado, João Manuel Ferreira
Data de Publicação: 2003
Outros Autores: Carreira, F. P. N. F., Mendes, Mário J. G. C., Costa, J. M. G. Sá da, Bartys, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/10925
Resumo: A computer assisted fault detection methodology based on a fuzzy qualitative simulation algorithm is described. The adoption of fuzzy sets allows a more detailed description of physical variables, through an arbitrary, but finite, disaetisatioo of the quantity space. The fuzzy representation of qualitative values is more general than ordinary interval representation, since it can represent not only the information stated by a well defined real interval but also the knowledge embedded in the soft boundaries of the interval. Such a methodology was applied to a pneumatic servomotor actuated control valve that is the benchmark problem of the EC RTN DAMADlCS.
id RCAP_7dd239bbfb25c09f339b9abb97998a6d
oai_identifier_str oai:repositorio.ipl.pt:10400.21/10925
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problemQualitative simulationFuzzy inferenceFuzzy dataFault detectionservomotor actuatorsA computer assisted fault detection methodology based on a fuzzy qualitative simulation algorithm is described. The adoption of fuzzy sets allows a more detailed description of physical variables, through an arbitrary, but finite, disaetisatioo of the quantity space. The fuzzy representation of qualitative values is more general than ordinary interval representation, since it can represent not only the information stated by a well defined real interval but also the knowledge embedded in the soft boundaries of the interval. Such a methodology was applied to a pneumatic servomotor actuated control valve that is the benchmark problem of the EC RTN DAMADlCS.ElsevierRCIPLCalado, João Manuel FerreiraCarreira, F. P. N. F.Mendes, Mário J. G. C.Costa, J. M. G. Sá daBartys, M.2020-01-02T12:01:39Z2003-062003-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/10925engCALADO, João M. F.; [et al] – Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem. IFAC Proceedings Volumes. ISSN 2589-3653. Vol. 36, N.º 5 (2003), pp. 1077-10822589-3653https://doi.org/10.1016/S1474-6670(17)36636-3metadata 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:RCAAP2023-08-03T10:01:32Zoai:repositorio.ipl.pt:10400.21/10925Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:19:16.702083Repositório 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 approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem
title Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem
spellingShingle Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem
Calado, João Manuel Ferreira
Qualitative simulation
Fuzzy inference
Fuzzy data
Fault detection
servomotor actuators
title_short Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem
title_full Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem
title_fullStr Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem
title_full_unstemmed Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem
title_sort Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem
author Calado, João Manuel Ferreira
author_facet Calado, João Manuel Ferreira
Carreira, F. P. N. F.
Mendes, Mário J. G. C.
Costa, J. M. G. Sá da
Bartys, M.
author_role author
author2 Carreira, F. P. N. F.
Mendes, Mário J. G. C.
Costa, J. M. G. Sá da
Bartys, M.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Calado, João Manuel Ferreira
Carreira, F. P. N. F.
Mendes, Mário J. G. C.
Costa, J. M. G. Sá da
Bartys, M.
dc.subject.por.fl_str_mv Qualitative simulation
Fuzzy inference
Fuzzy data
Fault detection
servomotor actuators
topic Qualitative simulation
Fuzzy inference
Fuzzy data
Fault detection
servomotor actuators
description A computer assisted fault detection methodology based on a fuzzy qualitative simulation algorithm is described. The adoption of fuzzy sets allows a more detailed description of physical variables, through an arbitrary, but finite, disaetisatioo of the quantity space. The fuzzy representation of qualitative values is more general than ordinary interval representation, since it can represent not only the information stated by a well defined real interval but also the knowledge embedded in the soft boundaries of the interval. Such a methodology was applied to a pneumatic servomotor actuated control valve that is the benchmark problem of the EC RTN DAMADlCS.
publishDate 2003
dc.date.none.fl_str_mv 2003-06
2003-06-01T00:00:00Z
2020-01-02T12:01:39Z
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/10400.21/10925
url http://hdl.handle.net/10400.21/10925
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv CALADO, João M. F.; [et al] – Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem. IFAC Proceedings Volumes. ISSN 2589-3653. Vol. 36, N.º 5 (2003), pp. 1077-1082
2589-3653
https://doi.org/10.1016/S1474-6670(17)36636-3
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
_version_ 1799133459010027520

Registros relacionados