Wavelet-packet identification of dynamic systems in frequency subbands.

Detalhes bibliográficos
Ano de defesa: 2005
Autor(a) principal: Henrique Mohallem Paiva
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Instituto Tecnológico de Aeronáutica
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=217
Resumo: This work presents a technique for linear system identification in frequency subbands by using wavelet packets. The wavelet-packet decomposition tree is used to establish frequency bands where subband models are created. An algorithm is proposed to adjust the tree structure, in order to achieve a compromise between accuracy and parsimony of the model. In a simulated example involving the identification of an aircraft model, the results of the proposed technique are favorably compared with those of a standard time-domain method.An application of the technique in the context of fault detection is also proposed. Once the identification is carried out, the difference between the outputs of the plant and of the model in the established frequency bands can be used as a residual signal for the purpose of fault detection. Two analytical redundancy approaches are exploited: input-output and output-output consistency check. Simulation studies involving a servomechanism and a Boeing 747 are provided to illustrate the proposed technique. The results show that the wavelet-packet method compares favorably with a standard observer-based scheme in terms of after-fault residue amplification, detection delay and number of successful fault detections.
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spelling Wavelet-packet identification of dynamic systems in frequency subbands.Identificação de sistemasSistemas dinâmicosAnálise de ondas localizadasProcessamento de sinaisSistemas linearesCódigos de detecção de errosFiltragemAlgoritmosAnálise de falhasEngenharia eletrônicaThis work presents a technique for linear system identification in frequency subbands by using wavelet packets. The wavelet-packet decomposition tree is used to establish frequency bands where subband models are created. An algorithm is proposed to adjust the tree structure, in order to achieve a compromise between accuracy and parsimony of the model. In a simulated example involving the identification of an aircraft model, the results of the proposed technique are favorably compared with those of a standard time-domain method.An application of the technique in the context of fault detection is also proposed. Once the identification is carried out, the difference between the outputs of the plant and of the model in the established frequency bands can be used as a residual signal for the purpose of fault detection. Two analytical redundancy approaches are exploited: input-output and output-output consistency check. Simulation studies involving a servomechanism and a Boeing 747 are provided to illustrate the proposed technique. The results show that the wavelet-packet method compares favorably with a standard observer-based scheme in terms of after-fault residue amplification, detection delay and number of successful fault detections.Instituto Tecnológico de AeronáuticaRoberto Kawakami Harrop GalvãoHenrique Mohallem Paiva2005-08-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesishttp://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=217reponame:Biblioteca Digital de Teses e Dissertações do ITAinstname:Instituto Tecnológico de Aeronáuticainstacron:ITAenginfo:eu-repo/semantics/openAccessapplication/pdf2019-02-02T14:01:42Zoai:agregador.ibict.br.BDTD_ITA:oai:ita.br:217http://oai.bdtd.ibict.br/requestopendoar:null2020-05-28 19:32:40.844Biblioteca Digital de Teses e Dissertações do ITA - Instituto Tecnológico de Aeronáuticatrue
dc.title.none.fl_str_mv Wavelet-packet identification of dynamic systems in frequency subbands.
title Wavelet-packet identification of dynamic systems in frequency subbands.
spellingShingle Wavelet-packet identification of dynamic systems in frequency subbands.
Henrique Mohallem Paiva
Identificação de sistemas
Sistemas dinâmicos
Análise de ondas localizadas
Processamento de sinais
Sistemas lineares
Códigos de detecção de erros
Filtragem
Algoritmos
Análise de falhas
Engenharia eletrônica
title_short Wavelet-packet identification of dynamic systems in frequency subbands.
title_full Wavelet-packet identification of dynamic systems in frequency subbands.
title_fullStr Wavelet-packet identification of dynamic systems in frequency subbands.
title_full_unstemmed Wavelet-packet identification of dynamic systems in frequency subbands.
title_sort Wavelet-packet identification of dynamic systems in frequency subbands.
author Henrique Mohallem Paiva
author_facet Henrique Mohallem Paiva
author_role author
dc.contributor.none.fl_str_mv Roberto Kawakami Harrop Galvão
dc.contributor.author.fl_str_mv Henrique Mohallem Paiva
dc.subject.por.fl_str_mv Identificação de sistemas
Sistemas dinâmicos
Análise de ondas localizadas
Processamento de sinais
Sistemas lineares
Códigos de detecção de erros
Filtragem
Algoritmos
Análise de falhas
Engenharia eletrônica
topic Identificação de sistemas
Sistemas dinâmicos
Análise de ondas localizadas
Processamento de sinais
Sistemas lineares
Códigos de detecção de erros
Filtragem
Algoritmos
Análise de falhas
Engenharia eletrônica
dc.description.none.fl_txt_mv This work presents a technique for linear system identification in frequency subbands by using wavelet packets. The wavelet-packet decomposition tree is used to establish frequency bands where subband models are created. An algorithm is proposed to adjust the tree structure, in order to achieve a compromise between accuracy and parsimony of the model. In a simulated example involving the identification of an aircraft model, the results of the proposed technique are favorably compared with those of a standard time-domain method.An application of the technique in the context of fault detection is also proposed. Once the identification is carried out, the difference between the outputs of the plant and of the model in the established frequency bands can be used as a residual signal for the purpose of fault detection. Two analytical redundancy approaches are exploited: input-output and output-output consistency check. Simulation studies involving a servomechanism and a Boeing 747 are provided to illustrate the proposed technique. The results show that the wavelet-packet method compares favorably with a standard observer-based scheme in terms of after-fault residue amplification, detection delay and number of successful fault detections.
description This work presents a technique for linear system identification in frequency subbands by using wavelet packets. The wavelet-packet decomposition tree is used to establish frequency bands where subband models are created. An algorithm is proposed to adjust the tree structure, in order to achieve a compromise between accuracy and parsimony of the model. In a simulated example involving the identification of an aircraft model, the results of the proposed technique are favorably compared with those of a standard time-domain method.An application of the technique in the context of fault detection is also proposed. Once the identification is carried out, the difference between the outputs of the plant and of the model in the established frequency bands can be used as a residual signal for the purpose of fault detection. Two analytical redundancy approaches are exploited: input-output and output-output consistency check. Simulation studies involving a servomechanism and a Boeing 747 are provided to illustrate the proposed technique. The results show that the wavelet-packet method compares favorably with a standard observer-based scheme in terms of after-fault residue amplification, detection delay and number of successful fault detections.
publishDate 2005
dc.date.none.fl_str_mv 2005-08-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
status_str publishedVersion
format doctoralThesis
dc.identifier.uri.fl_str_mv http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=217
url http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=217
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Tecnológico de Aeronáutica
publisher.none.fl_str_mv Instituto Tecnológico de Aeronáutica
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do ITA
instname:Instituto Tecnológico de Aeronáutica
instacron:ITA
reponame_str Biblioteca Digital de Teses e Dissertações do ITA
collection Biblioteca Digital de Teses e Dissertações do ITA
instname_str Instituto Tecnológico de Aeronáutica
instacron_str ITA
institution ITA
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações do ITA - Instituto Tecnológico de Aeronáutica
repository.mail.fl_str_mv
subject_por_txtF_mv Identificação de sistemas
Sistemas dinâmicos
Análise de ondas localizadas
Processamento de sinais
Sistemas lineares
Códigos de detecção de erros
Filtragem
Algoritmos
Análise de falhas
Engenharia eletrônica
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