A method for composite fault detection and isolation using overlapping decomposition

Detalhes bibliográficos
Autor(a) principal: Quirino,Rogério Bastos
Data de Publicação: 2003
Outros Autores: Bottura,Celso Pascoli
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Sba: Controle & Automação Sociedade Brasileira de Automatica
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592003000300003
Resumo: In this article, a method is developed for fault detection in linear, stochastic, interconnected dynamic systems, based on designing a set of partially decentralized Kalman filters for the subsystems resulting from the overlapping decomposition of the overall large scale system. The faulty sensors can be detected and isolated by comparing the estimated values of a single state from partially decoupled Kalman filters. The method is applied to an example system with two sensors.
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spelling A method for composite fault detection and isolation using overlapping decompositionfault detectionoverlappingKalman filterssensor failuressensorsIn this article, a method is developed for fault detection in linear, stochastic, interconnected dynamic systems, based on designing a set of partially decentralized Kalman filters for the subsystems resulting from the overlapping decomposition of the overall large scale system. The faulty sensors can be detected and isolated by comparing the estimated values of a single state from partially decoupled Kalman filters. The method is applied to an example system with two sensors.Sociedade Brasileira de Automática2003-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592003000300003Sba: Controle & Automação Sociedade Brasileira de Automatica v.14 n.3 2003reponame:Sba: Controle & Automação Sociedade Brasileira de Automaticainstname:Sociedade Brasileira de Automática (SBA)instacron:SBA10.1590/S0103-17592003000300003info:eu-repo/semantics/openAccessQuirino,Rogério BastosBottura,Celso Pascolieng2003-11-19T00:00:00Zoai:scielo:S0103-17592003000300003Revistahttps://www.sba.org.br/revista/PUBhttps://old.scielo.br/oai/scielo-oai.php||revista_sba@fee.unicamp.br1807-03450103-1759opendoar:2003-11-19T00:00Sba: Controle & Automação Sociedade Brasileira de Automatica - Sociedade Brasileira de Automática (SBA)false
dc.title.none.fl_str_mv A method for composite fault detection and isolation using overlapping decomposition
title A method for composite fault detection and isolation using overlapping decomposition
spellingShingle A method for composite fault detection and isolation using overlapping decomposition
Quirino,Rogério Bastos
fault detection
overlapping
Kalman filters
sensor failures
sensors
title_short A method for composite fault detection and isolation using overlapping decomposition
title_full A method for composite fault detection and isolation using overlapping decomposition
title_fullStr A method for composite fault detection and isolation using overlapping decomposition
title_full_unstemmed A method for composite fault detection and isolation using overlapping decomposition
title_sort A method for composite fault detection and isolation using overlapping decomposition
author Quirino,Rogério Bastos
author_facet Quirino,Rogério Bastos
Bottura,Celso Pascoli
author_role author
author2 Bottura,Celso Pascoli
author2_role author
dc.contributor.author.fl_str_mv Quirino,Rogério Bastos
Bottura,Celso Pascoli
dc.subject.por.fl_str_mv fault detection
overlapping
Kalman filters
sensor failures
sensors
topic fault detection
overlapping
Kalman filters
sensor failures
sensors
description In this article, a method is developed for fault detection in linear, stochastic, interconnected dynamic systems, based on designing a set of partially decentralized Kalman filters for the subsystems resulting from the overlapping decomposition of the overall large scale system. The faulty sensors can be detected and isolated by comparing the estimated values of a single state from partially decoupled Kalman filters. The method is applied to an example system with two sensors.
publishDate 2003
dc.date.none.fl_str_mv 2003-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592003000300003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592003000300003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-17592003000300003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Automática
publisher.none.fl_str_mv Sociedade Brasileira de Automática
dc.source.none.fl_str_mv Sba: Controle & Automação Sociedade Brasileira de Automatica v.14 n.3 2003
reponame:Sba: Controle & Automação Sociedade Brasileira de Automatica
instname:Sociedade Brasileira de Automática (SBA)
instacron:SBA
instname_str Sociedade Brasileira de Automática (SBA)
instacron_str SBA
institution SBA
reponame_str Sba: Controle & Automação Sociedade Brasileira de Automatica
collection Sba: Controle & Automação Sociedade Brasileira de Automatica
repository.name.fl_str_mv Sba: Controle & Automação Sociedade Brasileira de Automatica - Sociedade Brasileira de Automática (SBA)
repository.mail.fl_str_mv ||revista_sba@fee.unicamp.br
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