%A Jes?s Alfredo G?emes Gordo
%A Julian Sierra P?rez
%A J. Rodellar
%A Luis Eduardo Mujica
%J Key Engineering Materials
%T A robust procedure for damage detection from strain measurements based on principal component analysis
%X 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.
%K Principal component Analysis, fiber optic sensors.
%P 128-138
%V 558
%D 2013
%R 10.4028/www.scientific.net/KEM.558.128
%I Trans Tech Publications
%L upm22352