title: A robust procedure for damage detection from strain measurements based on principal component analysis
creator: Güemes Gordo, Jesús Alfredo
creator: Sierra Pérez, Julian
creator: Rodellar, J.
creator: Mujica, Luis Eduardo
subject: Aeronautics
description: FBGs are excellent strain sensors, because of its low size and multiplexing capability. Tens to hundred of sensors may be embedded into a structure, as it has already been demonstrated. Nevertheless, they only afford strain measurements at local points, so unless the damage affects the strain readings in a distinguishable manner, damage will go undetected. This paper show the experimental results obtained on the wing of a UAV, instrumented with 32 FBGs, before and after small damages were introduced. The PCA algorithm was able to distinguish the damage cases, even for small cracks. Principal Component Analysis (PCA) is a technique of multivariable analysis to reduce a complex data set to a lower dimension and reveal some hidden patterns that underlie.
publisher: E.T.S.I. Aeronáuticos (UPM)
rights: http://creativecommons.org/licenses/by-nc-nd/3.0/es/
date: 2013
type: info:eu-repo/semantics/article
type: Article
source: Key Engineering Materials, ISSN 1013-9826, 2013, Vol. 558
type: PeerReviewed
format: application/pdf
language: spa
relation: http://www.scientific.net/KEM.558.128
rights: info:eu-repo/semantics/openAccess
relation: info:eu-repo/semantics/altIdentifier/doi/10.4028/www.scientific.net/KEM.558.128
identifier: http://oa.upm.es/22352/