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dc.contributor.authorMujica Delgado, Luis Eduardo
dc.contributor.authorRuiz Ordóñez, Magda
dc.contributor.authorPozo Montero, Francesc
dc.contributor.authorRodellar Benedé, José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III
dc.date.accessioned2012-02-24T13:16:25Z
dc.date.available2012-02-24T13:16:25Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationMujica, L.E. [et al.]. Damage detection index based on statistical inference and PCA. 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: Destech, 2011.
dc.identifier.isbn978-1-60595-053-2
dc.identifier.urihttp://hdl.handle.net/2117/15362
dc.description.abstractThis paper is focused on the development of new estimators propounding if someone statistical law could estimate or infer a system without damage knowing its reliability. This new measurement considers each experiment, and consequently, each projection to the PCA model as a random variable. An in-depth statistical analysis is performed for SHM. PCA projections are obtained from the undamaged structure (baseline projection). If these projections are considered as the set of possible results (population), then the new projections from the current structure (healthy or not) are defined as random samples. Therefore, the probability distribution of the baseline projection can be found. This new distribution can make an inference about the state of the structure and determine if there is damage in it. Consequently, the relative likelihood of each new projection is determined. If the new projection is strongly related with the population, then the structure is healthy. Otherwise, the relation indicates the damage.
dc.language.isoeng
dc.publisherDestech
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::Enginyeria civil::Materials i estructures
dc.subject.lcshStructural health monitoring
dc.titleDamage detection index based on statistical inference and PCA
dc.typeConference lecture
dc.subject.lemacEstructures, Teoria de les
dc.contributor.groupUniversitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.rights.accessOpen Access
local.identifier.drac9578306
dc.description.versionPostprint (published version)
local.citation.authorMujica, L.E.; Ruiz, M.; Pozo, F.; 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


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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