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dc.contributor.authorCamacho-Navarro, Jhonatan
dc.contributor.authorRuiz Ordóñez, Magda
dc.contributor.authorVillamizar Mejía, Rodolfo
dc.contributor.authorMujica Delgado, Luis Eduardo
dc.contributor.authorAriza, Fabian
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2017-03-22T12:27:24Z
dc.date.available2017-03-22T12:27:24Z
dc.date.issued2016
dc.identifier.citationCamacho-Navarro, J., Ruiz, M., Villamizar, R., Mujica, L.E., Ariza, F. Embedded piezodiagnostics for online structural damage detection based on PCA algorithm. A: European Workshop on Structural Health Monitoring. "8th European Workshop on Structural Health Monitoring (EWSHM 2016): Bilbao, Spain, 5-8 July 2016". Bilbao: 2016, p. 1-10.
dc.identifier.urihttp://hdl.handle.net/2117/102795
dc.description.abstractThis work discusses a methodology used to implement a data-driven strategy for Structural Health Monitoring. First, the instrumentation of the equipment is detailed by describing the main components to be installed in the test structure in order to produce guide d waves. Specifically, an active piezo active system is used for this purpose , which consists of piezoelectric devices attached to the test structure surface and an ac quisition system. Then, the programming procedure to embed the damage detection algorithm is defined. In particular, the mathematical foundations and software requirements for impleme nting the preprocessing stage, baseline model building, and statistical index computation are specified. As a result, the Odroid-U3 computational core has the capability t o perform online damage assessment. Finally, some validation tests are presented through videos and short real time demonstration. Experimental data are recorded from two test specimens: i.) a lab carbon steel pipe loop built to emulate leak scenarios, and ii.) an aluminum plate, where mass adding is used to emulate reversible damages. The results reported i n this work show the high feasibility of the proposal methodology for obtaining an online embedded monitoring system with several advantages such as low cost, easy configuration, expandability and few computational resources
dc.format.extent10 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística
dc.subject.lcshStructural health monitoring
dc.subject.otherPrincipal component analysis
dc.subject.otherembedded hardware
dc.subject.otherOdroid U3
dc.subject.otherOnline Monitoring
dc.titleEmbedded piezodiagnostics for online structural damage detection based on PCA algorithm
dc.typeConference report
dc.subject.lemacDisseny d'estructures
dc.subject.lemacEstructures, Teoria de les
dc.subject.lemacIntel·ligència artificial
dc.contributor.groupUniversitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.rights.accessOpen Access
drac.iddocument19745975
dc.description.versionPostprint (published version)
upcommons.citation.authorCamacho-Navarro, J.; Ruiz, M.; Villamizar, R.; Mujica, L.E.; Ariza, F.
upcommons.citation.contributorEuropean Workshop on Structural Health Monitoring
upcommons.citation.pubplaceBilbao
upcommons.citation.publishedtrue
upcommons.citation.publicationName8th European Workshop on Structural Health Monitoring (EWSHM 2016): Bilbao, Spain, 5-8 July 2016
upcommons.citation.startingPage1
upcommons.citation.endingPage10


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain