Detection of Simultaneous Faults Using State Observer Methodology
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-030-75680-2_61 http://hdl.handle.net/11449/229216 |
Resumo: | Due to the big interest of industries in predictive maintenance, the development of techniques to diagnose failures has been gradually acquiring a relevant role in the current industrial scenario. For this reason, this paper aims to evaluate a fault diagnosis methodology based on the state observer theory, considering simultaneous failures. In order to validate this methodology, a system of vibrating tables was built to perform experimental tests, which consist of inputting two failure modes in a mechanical structure: mass loss and stiffness loss. The system is, then, excited by a shaker, and its response is measured. Applying the measured signals (the input and output) in the mathematical system model, the state observer methodology was, thus, executed to estimate the observable system states. The estimated state corresponding to the measured state is compared to the measured signal, resulting in a fault metric that can be used for failures characterization. |
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Detection of Simultaneous Faults Using State Observer MethodologySimultaneous failuresState observer methodologyDue to the big interest of industries in predictive maintenance, the development of techniques to diagnose failures has been gradually acquiring a relevant role in the current industrial scenario. For this reason, this paper aims to evaluate a fault diagnosis methodology based on the state observer theory, considering simultaneous failures. In order to validate this methodology, a system of vibrating tables was built to perform experimental tests, which consist of inputting two failure modes in a mechanical structure: mass loss and stiffness loss. The system is, then, excited by a shaker, and its response is measured. Applying the measured signals (the input and output) in the mathematical system model, the state observer methodology was, thus, executed to estimate the observable system states. The estimated state corresponding to the measured state is compared to the measured signal, resulting in a fault metric that can be used for failures characterization.Department of Mechanical Engineering UNESP - Ilha Solteira, Av. Brasil Centro, 56Department of Mechanical Engineering UNESP - Ilha Solteira, Av. Brasil Centro, 56Universidade Estadual Paulista (UNESP)Araújo, Camilo Rocha [UNESP]de Melo, Gilberto Pechoto [UNESP]2022-04-29T08:31:17Z2022-04-29T08:31:17Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject553-560http://dx.doi.org/10.1007/978-3-030-75680-2_61Smart Innovation, Systems and Technologies, v. 233, p. 553-560.2190-30262190-3018http://hdl.handle.net/11449/22921610.1007/978-3-030-75680-2_612-s2.0-85111362815Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSmart Innovation, Systems and Technologiesinfo:eu-repo/semantics/openAccess2024-07-04T20:06:42Zoai:repositorio.unesp.br:11449/229216Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:07:50.355170Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Detection of Simultaneous Faults Using State Observer Methodology |
title |
Detection of Simultaneous Faults Using State Observer Methodology |
spellingShingle |
Detection of Simultaneous Faults Using State Observer Methodology Araújo, Camilo Rocha [UNESP] Simultaneous failures State observer methodology |
title_short |
Detection of Simultaneous Faults Using State Observer Methodology |
title_full |
Detection of Simultaneous Faults Using State Observer Methodology |
title_fullStr |
Detection of Simultaneous Faults Using State Observer Methodology |
title_full_unstemmed |
Detection of Simultaneous Faults Using State Observer Methodology |
title_sort |
Detection of Simultaneous Faults Using State Observer Methodology |
author |
Araújo, Camilo Rocha [UNESP] |
author_facet |
Araújo, Camilo Rocha [UNESP] de Melo, Gilberto Pechoto [UNESP] |
author_role |
author |
author2 |
de Melo, Gilberto Pechoto [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Araújo, Camilo Rocha [UNESP] de Melo, Gilberto Pechoto [UNESP] |
dc.subject.por.fl_str_mv |
Simultaneous failures State observer methodology |
topic |
Simultaneous failures State observer methodology |
description |
Due to the big interest of industries in predictive maintenance, the development of techniques to diagnose failures has been gradually acquiring a relevant role in the current industrial scenario. For this reason, this paper aims to evaluate a fault diagnosis methodology based on the state observer theory, considering simultaneous failures. In order to validate this methodology, a system of vibrating tables was built to perform experimental tests, which consist of inputting two failure modes in a mechanical structure: mass loss and stiffness loss. The system is, then, excited by a shaker, and its response is measured. Applying the measured signals (the input and output) in the mathematical system model, the state observer methodology was, thus, executed to estimate the observable system states. The estimated state corresponding to the measured state is compared to the measured signal, resulting in a fault metric that can be used for failures characterization. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2022-04-29T08:31:17Z 2022-04-29T08:31:17Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-030-75680-2_61 Smart Innovation, Systems and Technologies, v. 233, p. 553-560. 2190-3026 2190-3018 http://hdl.handle.net/11449/229216 10.1007/978-3-030-75680-2_61 2-s2.0-85111362815 |
url |
http://dx.doi.org/10.1007/978-3-030-75680-2_61 http://hdl.handle.net/11449/229216 |
identifier_str_mv |
Smart Innovation, Systems and Technologies, v. 233, p. 553-560. 2190-3026 2190-3018 10.1007/978-3-030-75680-2_61 2-s2.0-85111362815 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Smart Innovation, Systems and Technologies |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
553-560 |
dc.source.none.fl_str_mv |
Scopus 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 |
|
_version_ |
1808129491861504000 |