Structural Damage identification in an aeronautical panel exploring the PCA and delaunay triangulation

Detalhes bibliográficos
Autor(a) principal: De Oliveira, Mario A.
Data de Publicação: 2015
Outros Autores: Filho, Jozue Vieira [UNESP], Lopes, Vicente [UNESP], Inman, Daniel J.
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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spelling 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
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