FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS

Detalhes bibliográficos
Autor(a) principal: Melo, Gilberto Pechoto
Data de Publicação: 2013
Outros Autores: Cavalini, Aldemir Aparecido, Morais, Tobias Souza
Tipo de documento: Artigo
Idioma: por
Título da fonte: Vetor (Online)
Texto Completo: https://periodicos.furg.br/vetor/article/view/1028
Resumo: Abstract -In this work a methodology of fault analysis in mechanical systems was developed using Kalman Filter state observes, in which, the input to the observers are identified by Fourier, Legendre and Chebyshev orthogonal functions. The proportional-integral observer is presented to the unknown input identification, this observer can be able to find the unknown inputs of the system and these inputs are used to the fault detection by way Kalman Filter Observer. Here can be seen the methodology of parameters and force identification using only the response of the system thought orthogonal functions. The methodology developed is applied in a composed structure of shake tables from Mechanical Vibrations Laboratory.
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spelling FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONSFault detection using state observers with unknown input, identified by orthogonal functionsstate observersfault detectionAbstract -In this work a methodology of fault analysis in mechanical systems was developed using Kalman Filter state observes, in which, the input to the observers are identified by Fourier, Legendre and Chebyshev orthogonal functions. The proportional-integral observer is presented to the unknown input identification, this observer can be able to find the unknown inputs of the system and these inputs are used to the fault detection by way Kalman Filter Observer. Here can be seen the methodology of parameters and force identification using only the response of the system thought orthogonal functions. The methodology developed is applied in a composed structure of shake tables from Mechanical Vibrations Laboratory.In this work a methodology of fault analysis in mechanical systems was developed using Kalman Filter state observes, in which, the input to the observers are identified by Fourier, Legendre and Chebyshev orthogonal functions. The proportional-integral observer is presented to the unknown input identification, this observer can be able to find the unknown inputs of the system and these inputs are used to the fault detection by way Kalman Filter Observer. Here can be seen the methodology of parameters and force identification using only the response of the system thought orthogonal functions. The methodology developed is applied in a composed structure of shake tables from Mechanical Vibrations Laboratory.Universidade Federal do Rio Grande2013-01-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1028VETOR - Journal of Exact Sciences and Engineering; Vol. 22 No. 1 (2012); 38-56VETOR - Revista de Ciências Exatas e Engenharias; v. 22 n. 1 (2012); 38-562358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/1028/2139Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessMelo, Gilberto PechotoCavalini, Aldemir AparecidoMorais, Tobias Souza2023-03-22T15:42:39Zoai:periodicos.furg.br:article/1028Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2023-03-22T15:42:39Vetor (Online) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
Fault detection using state observers with unknown input, identified by orthogonal functions
title FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
spellingShingle FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
Melo, Gilberto Pechoto
state observers
fault detection
title_short FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
title_full FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
title_fullStr FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
title_full_unstemmed FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
title_sort FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
author Melo, Gilberto Pechoto
author_facet Melo, Gilberto Pechoto
Cavalini, Aldemir Aparecido
Morais, Tobias Souza
author_role author
author2 Cavalini, Aldemir Aparecido
Morais, Tobias Souza
author2_role author
author
dc.contributor.author.fl_str_mv Melo, Gilberto Pechoto
Cavalini, Aldemir Aparecido
Morais, Tobias Souza
dc.subject.por.fl_str_mv state observers
fault detection
topic state observers
fault detection
description Abstract -In this work a methodology of fault analysis in mechanical systems was developed using Kalman Filter state observes, in which, the input to the observers are identified by Fourier, Legendre and Chebyshev orthogonal functions. The proportional-integral observer is presented to the unknown input identification, this observer can be able to find the unknown inputs of the system and these inputs are used to the fault detection by way Kalman Filter Observer. Here can be seen the methodology of parameters and force identification using only the response of the system thought orthogonal functions. The methodology developed is applied in a composed structure of shake tables from Mechanical Vibrations Laboratory.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.furg.br/vetor/article/view/1028
url https://periodicos.furg.br/vetor/article/view/1028
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.furg.br/vetor/article/view/1028/2139
dc.rights.driver.fl_str_mv Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenharias
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenharias
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande
publisher.none.fl_str_mv Universidade Federal do Rio Grande
dc.source.none.fl_str_mv VETOR - Journal of Exact Sciences and Engineering; Vol. 22 No. 1 (2012); 38-56
VETOR - Revista de Ciências Exatas e Engenharias; v. 22 n. 1 (2012); 38-56
2358-3452
0102-7352
reponame:Vetor (Online)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Vetor (Online)
collection Vetor (Online)
repository.name.fl_str_mv Vetor (Online) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv gmplatt@furg.br
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