Multiway principal component analysis contributions for structural damage localization

In this article, a novel methodology for damage localization is introduced. The approach is based on a multiactuator system. This means that the system itself has the ability of both exciting the specimen and measuring its response at different points in a pitch-catch mode. Once one of its actuators...

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Autores: Ruiz Ordóñez, Magda|||0000-0003-4419-1649, Mujica Delgado, Luis Eduardo|||0000-0001-7123-8065, Sierra Pérez, Julian, Pozo Montero, Francesc|||0000-0001-8958-6789, Rodellar Benedé, José|||0000-0002-1514-7713
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/117120
Acceso en línea:https://hdl.handle.net/2117/117120
https://dx.doi.org/10.1177/1475921717737971
Access Level:acceso abierto
Palabra clave:Principal components analysis
Principal component analysis
contribution analysis
damage localization
Anàlisi de components principals
Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
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spelling Multiway principal component analysis contributions for structural damage localizationRuiz Ordóñez, Magda|||0000-0003-4419-1649Mujica Delgado, Luis Eduardo|||0000-0001-7123-8065Sierra Pérez, JulianPozo Montero, Francesc|||0000-0001-8958-6789Rodellar Benedé, José|||0000-0002-1514-7713Principal components analysisPrincipal component analysiscontribution analysisdamage localizationAnàlisi de components principalsÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciènciesIn this article, a novel methodology for damage localization is introduced. The approach is based on a multiactuator system. This means that the system itself has the ability of both exciting the specimen and measuring its response at different points in a pitch-catch mode. Once one of its actuators excites the specimen, the damage affects the normal travel of the guided wave, and this change is mainly detected by sensors in the direct route to the excitation point. In previous works by the authors, it can be observed that the progression using data-driven statistical models (multivariable analysis based on principal component analysis) of all recorded signals to determine whether the damage is present. However, the main contribution of this article is the demonstration of the possibility of localizing damages by analyzing the contribution of each sensor to this index which have detected it (T2-statistic and Q-statistic). The proposed methodology has been applied and validated on an aircraft turbine blade. The results indicate that the presented methodology is able to accurately locate damages, analyzing the record signals from all actuation phases and giving a unique and reliable region.Peer Reviewed20172017-11-1420182018-05-11journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/117120https://dx.doi.org/10.1177/1475921717737971reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1171202026-05-27T15:37:01Z
dc.title.none.fl_str_mv Multiway principal component analysis contributions for structural damage localization
title Multiway principal component analysis contributions for structural damage localization
spellingShingle Multiway principal component analysis contributions for structural damage localization
Ruiz Ordóñez, Magda|||0000-0003-4419-1649
Principal components analysis
Principal component analysis
contribution analysis
damage localization
Anàlisi de components principals
Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
title_short Multiway principal component analysis contributions for structural damage localization
title_full Multiway principal component analysis contributions for structural damage localization
title_fullStr Multiway principal component analysis contributions for structural damage localization
title_full_unstemmed Multiway principal component analysis contributions for structural damage localization
title_sort Multiway principal component analysis contributions for structural damage localization
dc.creator.none.fl_str_mv Ruiz Ordóñez, Magda|||0000-0003-4419-1649
Mujica Delgado, Luis Eduardo|||0000-0001-7123-8065
Sierra Pérez, Julian
Pozo Montero, Francesc|||0000-0001-8958-6789
Rodellar Benedé, José|||0000-0002-1514-7713
author Ruiz Ordóñez, Magda|||0000-0003-4419-1649
author_facet Ruiz Ordóñez, Magda|||0000-0003-4419-1649
Mujica Delgado, Luis Eduardo|||0000-0001-7123-8065
Sierra Pérez, Julian
Pozo Montero, Francesc|||0000-0001-8958-6789
Rodellar Benedé, José|||0000-0002-1514-7713
author_role author
author2 Mujica Delgado, Luis Eduardo|||0000-0001-7123-8065
Sierra Pérez, Julian
Pozo Montero, Francesc|||0000-0001-8958-6789
Rodellar Benedé, José|||0000-0002-1514-7713
author2_role author
author
author
author
dc.subject.none.fl_str_mv Principal components analysis
Principal component analysis
contribution analysis
damage localization
Anàlisi de components principals
Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
topic Principal components analysis
Principal component analysis
contribution analysis
damage localization
Anàlisi de components principals
Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
description In this article, a novel methodology for damage localization is introduced. The approach is based on a multiactuator system. This means that the system itself has the ability of both exciting the specimen and measuring its response at different points in a pitch-catch mode. Once one of its actuators excites the specimen, the damage affects the normal travel of the guided wave, and this change is mainly detected by sensors in the direct route to the excitation point. In previous works by the authors, it can be observed that the progression using data-driven statistical models (multivariable analysis based on principal component analysis) of all recorded signals to determine whether the damage is present. However, the main contribution of this article is the demonstration of the possibility of localizing damages by analyzing the contribution of each sensor to this index which have detected it (T2-statistic and Q-statistic). The proposed methodology has been applied and validated on an aircraft turbine blade. The results indicate that the presented methodology is able to accurately locate damages, analyzing the record signals from all actuation phases and giving a unique and reliable region.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-11-14
2018
2018-05-11
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/117120
https://dx.doi.org/10.1177/1475921717737971
url https://hdl.handle.net/2117/117120
https://dx.doi.org/10.1177/1475921717737971
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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