FAULT DETECTION USING STATE OBSERVERS WITH UNKNOWN INPUT, IDENTIFIED BY ORTHOGONAL FUNCTIONS
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
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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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 |
_version_ |
1797041761136148480 |