Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/193465 |
Resumo: | The identification and model-based vibration analysis of a diesel internal combustion engine (ICE) is addressed in this thesis. An angle/time-dependent parametric model is proposed based on the existent well-known functional series time-varying autoregressive moving-average (FS-TARMA) formulation. However, instead of imposes the model coefficients' temporal evolution, this thesis suggests a model in which the coefficients are expanded and modeled as evolving according to an angular-periodic (related to the crankshaft position) basis. Due to this angle/time-dependency, we refer to this new model as an angle/time-FS-ARMA (or AT-FS-ARMA) model. The angular-periodic basis is derived from the AT-cyclostationary framework, a novel class of model extending the only time- or angle-cyclostationary framework. The proposed model considers the angle-periodicities (kinematic-related) often present in vibration-based signals from rotating and reciprocating machines, yet preserving the carrier (time-dependent dynamic). A ``Relaxed'' Multi-Stage Weighted-Least-Squares estimator is used to compute the models. The model structure is selected by evaluating the Bayesian information criterion through the assessment of several candidate models. A comparison between a model-based angle-frequency map and its non-parametric counterpart (obtained through smoothed-pseudo-Wigner-Ville distribution) was performed to show our proposal's potentiality. The results showed that the AT-FS-ARMA-based angle/frequency map provides a useful complementary tool for analysis; it is free from cross-terms and allows one to relate kinematics phenomena to the angular-instants in which they occur. |
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Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysisProposta de um modelo paramétrico ângulo/tempo-cicloestacionário aplicado à análise de um motor de combustão internaCicloestacionariedade ângulo/tempoAnálise de vibraçõesMáquinas rotativas e alternativasMotores de combustão internaIdentificação de sinaisIdentificação paramétricaAngle/time-cyclostationarityVibration analysisRotating and reciprocating machinesInternal combustion enginesSignal identificationParametric identificationThe identification and model-based vibration analysis of a diesel internal combustion engine (ICE) is addressed in this thesis. An angle/time-dependent parametric model is proposed based on the existent well-known functional series time-varying autoregressive moving-average (FS-TARMA) formulation. However, instead of imposes the model coefficients' temporal evolution, this thesis suggests a model in which the coefficients are expanded and modeled as evolving according to an angular-periodic (related to the crankshaft position) basis. Due to this angle/time-dependency, we refer to this new model as an angle/time-FS-ARMA (or AT-FS-ARMA) model. The angular-periodic basis is derived from the AT-cyclostationary framework, a novel class of model extending the only time- or angle-cyclostationary framework. The proposed model considers the angle-periodicities (kinematic-related) often present in vibration-based signals from rotating and reciprocating machines, yet preserving the carrier (time-dependent dynamic). A ``Relaxed'' Multi-Stage Weighted-Least-Squares estimator is used to compute the models. The model structure is selected by evaluating the Bayesian information criterion through the assessment of several candidate models. A comparison between a model-based angle-frequency map and its non-parametric counterpart (obtained through smoothed-pseudo-Wigner-Ville distribution) was performed to show our proposal's potentiality. The results showed that the AT-FS-ARMA-based angle/frequency map provides a useful complementary tool for analysis; it is free from cross-terms and allows one to relate kinematics phenomena to the angular-instants in which they occur.Esta tese trata do problema da identificação e análise de vibrações, baseada em modelo, de sinais de vibrações de um motor de combustão interna à diesel. Um modelo paramétrico dependente do tempo/ângulo é proposto. Este modelo baseado na formulação já consolidada de modelos autorregressivos média-móveis (ARMA, do inglês autoregressive-moving-average) tempo-variantes, que utilizam espaços funcionais (FS, do inglês functional series) para a expansão dos parâmetros. Todavia, ao invés de impor uma dependência temporal nos coeficientes do modelo, esta tese sugere a expansão destes em termos de funções periódicas que são dependentes do ângulo de rotação do virabrequim do motor. Devido à esta dependência do ângulo/tempo, o novo modelo é chamado FS-ARMA ângulo/tempo-variante (ou AT-FS-ARMA). A base ângulo-periódica é proveniente da ideia de modelagem ângulo/tempo-ciclo-estacionária, que sugere uma nova classe de modelos como uma expansão das classes apenas tempo- ou ângulo-ciclo-estacionárias. O modelo proposto considera as periodicidades, frequentemente presentes em sinais de máquinas rotativas e alternativas (relacionadas à cinemática), em termos da variável angular, enquanto preserva a descrição temporal de características intrínsecas dos sinais (dinâmica dependente no tempo). Um estimador “relaxado” e de múltiplos estágios, baseado no método dos mínimos quadrados, é utilizado para estimar o modelo, cuja estrutura é selecionada utilizando a métrica do critério Bayesiano, através da avaliação de diversos modelos-candidatos. É realizada então uma comparação entre um mapa ângulo-frequência baseado no modelo estimado e um equivalente não-paramétrico deste (obtido via a computação de uma Distribuição Wigner-Ville suavizada, ou Pseudo-smoothed-Wigner-Ville Distribution), para mostrar o potencial do método proposto. Os resultados mostraram que os mapas ângulo-frequência baseados no modelo AT-FS-ARMA provêm uma ferramenta complementar útil para análise, sendo livre de termos cruzados e permitindo a associação entre fenômenos cinemáticos aos “instantes” angulares em que estes ocorrem.OutraCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)CAPES: 001Universidade Estadual Paulista (Unesp)Silva, Samuel daSilva, Samuel da [UNESP]Universidade Estadual Paulista (Unesp)Jambersi, Andreyson Bicudo2020-09-14T13:16:33Z2020-09-14T13:16:33Z2020-08-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://hdl.handle.net/11449/19346533004099082P2enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESP2023-10-01T06:03:46Zoai:repositorio.unesp.br:11449/193465Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-01T06:03:46Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis Proposta de um modelo paramétrico ângulo/tempo-cicloestacionário aplicado à análise de um motor de combustão interna |
title |
Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis |
spellingShingle |
Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis Jambersi, Andreyson Bicudo Cicloestacionariedade ângulo/tempo Análise de vibrações Máquinas rotativas e alternativas Motores de combustão interna Identificação de sinais Identificação paramétrica Angle/time-cyclostationarity Vibration analysis Rotating and reciprocating machines Internal combustion engines Signal identification Parametric identification |
title_short |
Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis |
title_full |
Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis |
title_fullStr |
Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis |
title_full_unstemmed |
Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis |
title_sort |
Proposal for an angle/time-cyclostationary parametric model with application on internal combustion engine analysis |
author |
Jambersi, Andreyson Bicudo |
author_facet |
Jambersi, Andreyson Bicudo |
author_role |
author |
dc.contributor.none.fl_str_mv |
Silva, Samuel da Silva, Samuel da [UNESP] Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Jambersi, Andreyson Bicudo |
dc.subject.por.fl_str_mv |
Cicloestacionariedade ângulo/tempo Análise de vibrações Máquinas rotativas e alternativas Motores de combustão interna Identificação de sinais Identificação paramétrica Angle/time-cyclostationarity Vibration analysis Rotating and reciprocating machines Internal combustion engines Signal identification Parametric identification |
topic |
Cicloestacionariedade ângulo/tempo Análise de vibrações Máquinas rotativas e alternativas Motores de combustão interna Identificação de sinais Identificação paramétrica Angle/time-cyclostationarity Vibration analysis Rotating and reciprocating machines Internal combustion engines Signal identification Parametric identification |
description |
The identification and model-based vibration analysis of a diesel internal combustion engine (ICE) is addressed in this thesis. An angle/time-dependent parametric model is proposed based on the existent well-known functional series time-varying autoregressive moving-average (FS-TARMA) formulation. However, instead of imposes the model coefficients' temporal evolution, this thesis suggests a model in which the coefficients are expanded and modeled as evolving according to an angular-periodic (related to the crankshaft position) basis. Due to this angle/time-dependency, we refer to this new model as an angle/time-FS-ARMA (or AT-FS-ARMA) model. The angular-periodic basis is derived from the AT-cyclostationary framework, a novel class of model extending the only time- or angle-cyclostationary framework. The proposed model considers the angle-periodicities (kinematic-related) often present in vibration-based signals from rotating and reciprocating machines, yet preserving the carrier (time-dependent dynamic). A ``Relaxed'' Multi-Stage Weighted-Least-Squares estimator is used to compute the models. The model structure is selected by evaluating the Bayesian information criterion through the assessment of several candidate models. A comparison between a model-based angle-frequency map and its non-parametric counterpart (obtained through smoothed-pseudo-Wigner-Ville distribution) was performed to show our proposal's potentiality. The results showed that the AT-FS-ARMA-based angle/frequency map provides a useful complementary tool for analysis; it is free from cross-terms and allows one to relate kinematics phenomena to the angular-instants in which they occur. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-14T13:16:33Z 2020-09-14T13:16:33Z 2020-08-28 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/11449/193465 33004099082P2 |
url |
http://hdl.handle.net/11449/193465 |
identifier_str_mv |
33004099082P2 |
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 |
Universidade Estadual Paulista (Unesp) |
publisher.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1797789254559989760 |