Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform

The implementation of damage-detection methods for continuously assessing structural integrity entails systems with attractive features such as storage capabilities, memory capacity, computational complexity and time-consuming processing. In this sense, embedded hardware platforms are a promising te...

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Autores: Camacho Navarro, Jhonatan, Quintero, Andrés, Ruiz Ordóñez, Magda|||0000-0003-4419-1649, Villamizar Mejía, Rodolfo, Mujica, Luis
Formato: artículo
Fecha de publicación:2018
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/125268
Acesso em linha:https://hdl.handle.net/2117/125268
https://dx.doi.org/10.3390/s18113730
Access Level:acceso abierto
Palavra-chave:Structural health monitoring
Principal components analysis
Embedded computer systems
principal component analysis
embedded system
online monitoring
structural health monitoring
guided waves
pipeline damage detection
Resistència estructural
Anàlisi de components principals
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures
Àrees temàtiques de la UPC::Matemàtiques i estadística
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network_name_str España
repository_id_str
spelling Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platformCamacho Navarro, JhonatanQuintero, AndrésRuiz Ordóñez, Magda|||0000-0003-4419-1649Villamizar Mejía, RodolfoMujica, LuisStructural health monitoringPrincipal components analysisEmbedded computer systemsprincipal component analysisembedded systemonline monitoringstructural health monitoringguided wavespipeline damage detectionResistència estructuralAnàlisi de components principalsÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructuresÀrees temàtiques de la UPC::Matemàtiques i estadísticaThe implementation of damage-detection methods for continuously assessing structural integrity entails systems with attractive features such as storage capabilities, memory capacity, computational complexity and time-consuming processing. In this sense, embedded hardware platforms are a promising technology for developing integrated solutions in Structural Health Monitoring. In this paper, design, test, and specifications for a standalone inspection prototype are presented, which take advantage of piezo-diagnostics principle, statistical processing via Principal Component Analysis (PCA) and embedded systems. The equipment corresponds to a piezoelectric active system with the capability to detect defects in structures, by using a PCA-based algorithm embedded in the Odroid-U3 ARM Linux platform. The operation of the equipment consists of applying, at one side of the structure, wide guided waves by means of piezoelectric devices operated in actuation mode and to record the wave response in another side of the structure by using the same kind of piezoelectric devices operated in sensor mode. Based on the nominal response of the guide wave (no damages), represented by means of a PCA statistical model, the system can detect damages between the actuated/sensed points through squared prediction error (Q-statistical index). The system performance was evaluated in a pipe test bench where two kinds of damages were studied: first, a mass is added to the pipe surface, and then leaks are provoked to the pipe structure by means of a drill tool. The experiments were conducted on two lab structures: (i) a meter carbon-steel pipe section and (ii) a pipe loop structure. The wave response was recorded between the instrumented points for two conditions: (i) The pipe in nominal conditions, where several repetitions will be applied to build the nominal statistical model and (ii) when damage is caused to the pipe (mass adding or leak). Damage conditions were graphically recognized through the Q-statistic chart. Thus, the feasibility to implement an automated real-time diagnostic system is demonstrated with minimum processing resources and hardware flexibility.Peer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20182018-11-0120182018-11-30journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/125268https://dx.doi.org/10.3390/s18113730reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1252682026-05-27T15:37:01Z
dc.title.none.fl_str_mv Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
title Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
spellingShingle Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
Camacho Navarro, Jhonatan
Structural health monitoring
Principal components analysis
Embedded computer systems
principal component analysis
embedded system
online monitoring
structural health monitoring
guided waves
pipeline damage detection
Resistència estructural
Anàlisi de components principals
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures
Àrees temàtiques de la UPC::Matemàtiques i estadística
title_short Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
title_full Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
title_fullStr Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
title_full_unstemmed Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
title_sort Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
dc.creator.none.fl_str_mv Camacho Navarro, Jhonatan
Quintero, Andrés
Ruiz Ordóñez, Magda|||0000-0003-4419-1649
Villamizar Mejía, Rodolfo
Mujica, Luis
author Camacho Navarro, Jhonatan
author_facet Camacho Navarro, Jhonatan
Quintero, Andrés
Ruiz Ordóñez, Magda|||0000-0003-4419-1649
Villamizar Mejía, Rodolfo
Mujica, Luis
author_role author
author2 Quintero, Andrés
Ruiz Ordóñez, Magda|||0000-0003-4419-1649
Villamizar Mejía, Rodolfo
Mujica, Luis
author2_role author
author
author
author
dc.subject.none.fl_str_mv Structural health monitoring
Principal components analysis
Embedded computer systems
principal component analysis
embedded system
online monitoring
structural health monitoring
guided waves
pipeline damage detection
Resistència estructural
Anàlisi de components principals
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures
Àrees temàtiques de la UPC::Matemàtiques i estadística
topic Structural health monitoring
Principal components analysis
Embedded computer systems
principal component analysis
embedded system
online monitoring
structural health monitoring
guided waves
pipeline damage detection
Resistència estructural
Anàlisi de components principals
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures
Àrees temàtiques de la UPC::Matemàtiques i estadística
description The implementation of damage-detection methods for continuously assessing structural integrity entails systems with attractive features such as storage capabilities, memory capacity, computational complexity and time-consuming processing. In this sense, embedded hardware platforms are a promising technology for developing integrated solutions in Structural Health Monitoring. In this paper, design, test, and specifications for a standalone inspection prototype are presented, which take advantage of piezo-diagnostics principle, statistical processing via Principal Component Analysis (PCA) and embedded systems. The equipment corresponds to a piezoelectric active system with the capability to detect defects in structures, by using a PCA-based algorithm embedded in the Odroid-U3 ARM Linux platform. The operation of the equipment consists of applying, at one side of the structure, wide guided waves by means of piezoelectric devices operated in actuation mode and to record the wave response in another side of the structure by using the same kind of piezoelectric devices operated in sensor mode. Based on the nominal response of the guide wave (no damages), represented by means of a PCA statistical model, the system can detect damages between the actuated/sensed points through squared prediction error (Q-statistical index). The system performance was evaluated in a pipe test bench where two kinds of damages were studied: first, a mass is added to the pipe surface, and then leaks are provoked to the pipe structure by means of a drill tool. The experiments were conducted on two lab structures: (i) a meter carbon-steel pipe section and (ii) a pipe loop structure. The wave response was recorded between the instrumented points for two conditions: (i) The pipe in nominal conditions, where several repetitions will be applied to build the nominal statistical model and (ii) when damage is caused to the pipe (mass adding or leak). Damage conditions were graphically recognized through the Q-statistic chart. Thus, the feasibility to implement an automated real-time diagnostic system is demonstrated with minimum processing resources and hardware flexibility.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-11-01
2018
2018-11-30
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/125268
https://dx.doi.org/10.3390/s18113730
url https://hdl.handle.net/2117/125268
https://dx.doi.org/10.3390/s18113730
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
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
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
_version_ 1869402887388397568
score 15.300719

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