Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system

Autores
Levrini, Aldo; Cipriano, Aldo
Año de publicación
2003
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper presents a comparison of three nonlinear models used for residual generation. The residual generation is part of a simple fault detection and diagnostics scheme applied to the Pendubot dynamic system operating in closed loop. The compared models are: Hammerstein, neural NARMAX, and Takagi-Sugeno Fuzzy models.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Residual Generation
Fault Detection
Nonlinear Models
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/185210
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/185210
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic systemLevrini, AldoCipriano, AldoCiencias InformáticasResidual GenerationFault DetectionNonlinear ModelsThis paper presents a comparison of three nonlinear models used for residual generation. The residual generation is part of a simple fault detection and diagnostics scheme applied to the Pendubot dynamic system operating in closed loop. The compared models are: Hammerstein, neural NARMAX, and Takagi-Sugeno Fuzzy models.Sociedad Argentina de Informática e Investigación Operativa2003-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/185210enginfo:eu-repo/semantics/altIdentifier/issn/1666-1079info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:31:35Zoai:sedici.unlp.edu.ar:10915/185210Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:31:35.398SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system
title Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system
spellingShingle Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system
Levrini, Aldo
Ciencias Informáticas
Residual Generation
Fault Detection
Nonlinear Models
title_short Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system
title_full Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system
title_fullStr Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system
title_full_unstemmed Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system
title_sort Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system
dc.creator.none.fl_str_mv Levrini, Aldo
Cipriano, Aldo
author Levrini, Aldo
author_facet Levrini, Aldo
Cipriano, Aldo
author_role author
author2 Cipriano, Aldo
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Residual Generation
Fault Detection
Nonlinear Models
topic Ciencias Informáticas
Residual Generation
Fault Detection
Nonlinear Models
dc.description.none.fl_txt_mv This paper presents a comparison of three nonlinear models used for residual generation. The residual generation is part of a simple fault detection and diagnostics scheme applied to the Pendubot dynamic system operating in closed loop. The compared models are: Hammerstein, neural NARMAX, and Takagi-Sugeno Fuzzy models.
Sociedad Argentina de Informática e Investigación Operativa
description This paper presents a comparison of three nonlinear models used for residual generation. The residual generation is part of a simple fault detection and diagnostics scheme applied to the Pendubot dynamic system operating in closed loop. The compared models are: Hammerstein, neural NARMAX, and Takagi-Sugeno Fuzzy models.
publishDate 2003
dc.date.none.fl_str_mv 2003-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/185210
url http://sedici.unlp.edu.ar/handle/10915/185210
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1666-1079
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 12.982451

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