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FBGs are excellent strain sensors, because of its
low size and multiplexing capability.
Tens to hundred of sensors may be embedded into a s
tructure, 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 wa
s 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.
CitacióGüemes Gordo, A. [et al.]. A robust procedure for Damage detection from strain measurements based on Principal Component Analysis. "Key engineering materials", 17 Abril 2013, vol. 558, p. 128-138.