Data-driven fault diagnosis and robust control: application to PEM fuel cell systems

"A data-driven methodology that includes the unfalsified control concept in the framework of fault diagnosis and isolation (FDI) and fault-tolerant control (FTC) is presented. The selection of the appropriate controller from a bank of controllers in a switching supervisory control setting is pe...

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Autores principales: Ocampo-Martínez, Carlos, Sánchez-Peña, Ricardo, Bianchi, Fernando D., Ingimundarson, Ari
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
CELULAS DE COMBUSTIBLE
ANALISIS DE FALLAS
TOLERANCIA A FALLOS
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1623
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1623
record_format dspace
spelling I32-R138-123456789-16232022-12-07T13:06:35Z Data-driven fault diagnosis and robust control: application to PEM fuel cell systems Ocampo-Martínez, Carlos Sánchez-Peña, Ricardo Bianchi, Fernando D. Ingimundarson, Ari CELULAS DE COMBUSTIBLE ANALISIS DE FALLAS TOLERANCIA A FALLOS "A data-driven methodology that includes the unfalsified control concept in the framework of fault diagnosis and isolation (FDI) and fault-tolerant control (FTC) is presented. The selection of the appropriate controller from a bank of controllers in a switching supervisory control setting is performed by using an adequate FDI outcome. By combining simultaneous online performance assessment of multiple controllers with the fault diagnosis decision from structured hypothesis tests, a diagnosis statement regarding what controller is most suitable to deal with the current (nominal or faulty) mode of the plant is obtained. Switching strategies that use the diagnosis statement are also proposed. This approach is applied to a nonlinear experimentally validated model of the breathing system of a polymer electrolyte membrane fuel cell. The results show the effectiveness of this FDI–fault-tolerant control data-driven methodology." 2019-06-19T13:42:21Z 2019-06-19T13:42:21Z 2018-08 Artículos de Publicaciones Periódicas info:eu-repo/semantics/acceptedVersion 1049-8923 http://ri.itba.edu.ar/handle/123456789/1623 en info:eu-repo/semantics/altIdentifier/doi/10.1002/rnc.3820 info:eu-repo/grantAgreement/ANPCyT/PICT/2008-290/AR. Ciudad Autónoma de Buenos Aires info:eu-repo/grantAgreement/MINECO/DPI2013-48243-C2-1-R/SP. Madrid info:eu-repo/grantAgreement/CERCA/SP. Barcelona application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic CELULAS DE COMBUSTIBLE
ANALISIS DE FALLAS
TOLERANCIA A FALLOS
spellingShingle CELULAS DE COMBUSTIBLE
ANALISIS DE FALLAS
TOLERANCIA A FALLOS
Ocampo-Martínez, Carlos
Sánchez-Peña, Ricardo
Bianchi, Fernando D.
Ingimundarson, Ari
Data-driven fault diagnosis and robust control: application to PEM fuel cell systems
topic_facet CELULAS DE COMBUSTIBLE
ANALISIS DE FALLAS
TOLERANCIA A FALLOS
description "A data-driven methodology that includes the unfalsified control concept in the framework of fault diagnosis and isolation (FDI) and fault-tolerant control (FTC) is presented. The selection of the appropriate controller from a bank of controllers in a switching supervisory control setting is performed by using an adequate FDI outcome. By combining simultaneous online performance assessment of multiple controllers with the fault diagnosis decision from structured hypothesis tests, a diagnosis statement regarding what controller is most suitable to deal with the current (nominal or faulty) mode of the plant is obtained. Switching strategies that use the diagnosis statement are also proposed. This approach is applied to a nonlinear experimentally validated model of the breathing system of a polymer electrolyte membrane fuel cell. The results show the effectiveness of this FDI–fault-tolerant control data-driven methodology."
format Artículos de Publicaciones Periódicas
acceptedVersion
author Ocampo-Martínez, Carlos
Sánchez-Peña, Ricardo
Bianchi, Fernando D.
Ingimundarson, Ari
author_facet Ocampo-Martínez, Carlos
Sánchez-Peña, Ricardo
Bianchi, Fernando D.
Ingimundarson, Ari
author_sort Ocampo-Martínez, Carlos
title Data-driven fault diagnosis and robust control: application to PEM fuel cell systems
title_short Data-driven fault diagnosis and robust control: application to PEM fuel cell systems
title_full Data-driven fault diagnosis and robust control: application to PEM fuel cell systems
title_fullStr Data-driven fault diagnosis and robust control: application to PEM fuel cell systems
title_full_unstemmed Data-driven fault diagnosis and robust control: application to PEM fuel cell systems
title_sort data-driven fault diagnosis and robust control: application to pem fuel cell systems
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1623
work_keys_str_mv AT ocampomartinezcarlos datadrivenfaultdiagnosisandrobustcontrolapplicationtopemfuelcellsystems
AT sanchezpenaricardo datadrivenfaultdiagnosisandrobustcontrolapplicationtopemfuelcellsystems
AT bianchifernandod datadrivenfaultdiagnosisandrobustcontrolapplicationtopemfuelcellsystems
AT ingimundarsonari datadrivenfaultdiagnosisandrobustcontrolapplicationtopemfuelcellsystems
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