Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/232466 |
Resumo: | This paper addresses a novel approach for damage identification in Structural Health Monitoring (SHM) systems based on Principal Component Analysis (PCA) and Delaunay Triangulation (DT). The proposed method explores Electromechanical Impedance (EMI) principle, in the time domain, to identify structural damage in an aircraft aluminum panel. The procedure is carried out exciting the PZT (Pb-Lead Zirconate Titanate) transducers using a wide band chirp signal and measuring their time responses. The PCA is performed using structural response signals and PCA loadings are considered as input to compute the DT. Root Mean Square Deviation (RMSD) metrics are computed from the area formed by the triangles obtained from the DT. Such areas vary due to the displacement of loadings caused by changes in the structural condition for each PZT sensor. These variations have provided good evidence about the effectiveness of the proposed method applied to SHM systems. |
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Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulationThis paper addresses a novel approach for damage identification in Structural Health Monitoring (SHM) systems based on Principal Component Analysis (PCA) and Delaunay Triangulation (DT). The proposed method explores Electromechanical Impedance (EMI) principle, in the time domain, to identify structural damage in an aircraft aluminum panel. The procedure is carried out exciting the PZT (Pb-Lead Zirconate Titanate) transducers using a wide band chirp signal and measuring their time responses. The PCA is performed using structural response signals and PCA loadings are considered as input to compute the DT. Root Mean Square Deviation (RMSD) metrics are computed from the area formed by the triangles obtained from the DT. Such areas vary due to the displacement of loadings caused by changes in the structural condition for each PZT sensor. These variations have provided good evidence about the effectiveness of the proposed method applied to SHM systems.Department of Electrical and Electronic, Federal Institute of Education of Mato GrossoDepartment of Telecommunication Engineering, Universidade Estadual PaulistaDepartment of Mechanical Engineering, Universidade Estadual PaulistaDepartment of Aerospace Engineering, University of MichiganDepartment of Telecommunication Engineering, Universidade Estadual PaulistaDepartment of Mechanical Engineering, Universidade Estadual PaulistaUniversidade Estadual Paulista (UNESP)De Oliveira, Mario A.Filho, Jozue Vieira [UNESP]Lopes, Vicente [UNESP]Inman, Daniel J.2022-04-29T16:52:04Z2022-04-29T16:52:04Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject687-695Structural Health Monitoring 2015: System Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015, v. 2, p. 687-695.http://hdl.handle.net/11449/2324662-s2.0-84945587528Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengStructural Health Monitoring 2015: System Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015info:eu-repo/semantics/openAccess2024-07-04T19:11:49Zoai:repositorio.unesp.br:11449/232466Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:55:06.777207Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation |
title |
Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation |
spellingShingle |
Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation De Oliveira, Mario A. |
title_short |
Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation |
title_full |
Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation |
title_fullStr |
Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation |
title_full_unstemmed |
Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation |
title_sort |
Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation |
author |
De Oliveira, Mario A. |
author_facet |
De Oliveira, Mario A. Filho, Jozue Vieira [UNESP] Lopes, Vicente [UNESP] Inman, Daniel J. |
author_role |
author |
author2 |
Filho, Jozue Vieira [UNESP] Lopes, Vicente [UNESP] Inman, Daniel J. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
De Oliveira, Mario A. Filho, Jozue Vieira [UNESP] Lopes, Vicente [UNESP] Inman, Daniel J. |
description |
This paper addresses a novel approach for damage identification in Structural Health Monitoring (SHM) systems based on Principal Component Analysis (PCA) and Delaunay Triangulation (DT). The proposed method explores Electromechanical Impedance (EMI) principle, in the time domain, to identify structural damage in an aircraft aluminum panel. The procedure is carried out exciting the PZT (Pb-Lead Zirconate Titanate) transducers using a wide band chirp signal and measuring their time responses. The PCA is performed using structural response signals and PCA loadings are considered as input to compute the DT. Root Mean Square Deviation (RMSD) metrics are computed from the area formed by the triangles obtained from the DT. Such areas vary due to the displacement of loadings caused by changes in the structural condition for each PZT sensor. These variations have provided good evidence about the effectiveness of the proposed method applied to SHM systems. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 2022-04-29T16:52:04Z 2022-04-29T16:52:04Z |
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 |
Structural Health Monitoring 2015: System Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015, v. 2, p. 687-695. http://hdl.handle.net/11449/232466 2-s2.0-84945587528 |
identifier_str_mv |
Structural Health Monitoring 2015: System Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015, v. 2, p. 687-695. 2-s2.0-84945587528 |
url |
http://hdl.handle.net/11449/232466 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Structural Health Monitoring 2015: System Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
687-695 |
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_ |
1808129263371550720 |