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dc.contributor.authorTibaduiza Burgos, Diego Alexander
dc.contributor.authorMujica Delgado, Luis Eduardo
dc.contributor.authorRodellar Benedé, José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III
dc.date.accessioned2012-03-08T11:54:41Z
dc.date.available2012-03-08T11:54:41Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationTibaduiza, D.; Mujica, L.E.; Rodellar, J. Combined and I indices based on principal component analysis for damage detection and localization. A: International Workshop on Structural Health Monitoring. "Structural health monitoring 2011: condition-based maintenance and intelligent structures : proceedings of the 8th International workshop on structural health monitoring, Stanford University, Stanford, CA, September 13-15, 2011". Stanford, CA: 2011, p. 1250-1258.
dc.identifier.isbn978-1-60595-053-2
dc.identifier.urihttp://hdl.handle.net/2117/15526
dc.description.abstractIn this paper, two indices (combined or phi index and I index), different to the presented in [1][2][3] are used to detect damages; these indices are calculated from the information obtained from the projection of the experiments into the PCA models (baseline). They give us a measurement about the difference between the tested and the healthy structure. The experiments are taken from an active piezoelectric system which is excited with lamb waves in different phases and the fact that any defect in the structure changes its vibrational response is exploited. For localization, five different methods of contribution analysis are used (complete decomposition contribution, partial decomposition contribution, angle based contribution, reconstruction based contribution and diagonal contribution). With these methods, the contribution of each sensor to each index is analyzed, in this way, sensor with largest contribution suggests the path where the damage could be located (from the actuator to this sensor). The combination of all indices and all contributions (a total of 2 x 5) are analyzed and compared. To validate the approaches, they are applied to an aircraft turbine blade instrumented with seven PZT’s. Different damages are simulated.
dc.format.extent9 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::Anàlisi numèrica::Mètodes numèrics
dc.subject.lcshNumerical analysis--Simulation methods
dc.titleCombined and I indices based on principal component analysis for damage detection and localization
dc.typeConference report
dc.subject.lemacAnàlisi numèrica
dc.contributor.groupUniversitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.description.peerreviewedPeer Reviewed
dc.subject.ams65C Probabilistic methods, simulation and stochastic differential equations
dc.relation.publisherversionhttp://www.destechpub.com/pageview.asp?pageid=33591
dc.rights.accessOpen Access
local.identifier.drac5981702
dc.description.versionPostprint (published version)
local.citation.authorTibaduiza, D.; Mujica, L.E.; Rodellar, J.
local.citation.contributorInternational Workshop on Structural Health Monitoring
local.citation.pubplaceStanford, CA
local.citation.publicationNameStructural health monitoring 2011: condition-based maintenance and intelligent structures : proceedings of the 8th International workshop on structural health monitoring, Stanford University, Stanford, CA, September 13-15, 2011
local.citation.startingPage1250
local.citation.endingPage1258


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