@article{upm22352,
          volume = {558},
           title = {A robust procedure for damage detection from strain measurements based on principal component analysis},
          author = {Jes{\'u}s Alfredo G{\"u}emes Gordo and Julian Sierra P{\'e}rez and J. Rodellar and Luis Eduardo Mujica},
       publisher = {Trans Tech Publications},
            year = {2013},
           pages = {128--138},
         journal = {Key Engineering Materials},
        keywords = {Principal component Analysis, fiber optic sensors.},
             url = {http://oa.upm.es/22352/},
        abstract = {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.}
}