TY - GEN
T1 - A robust procedure for damage detection from strain measurements based on principal component analysis
AU - Guemes, A.
AU - Sierra-Pérez, J.
AU - Rodellar, J.
AU - Mujica, L.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Fiber optic sensors
KW - Principal Component Analysis
UR - http://www.scopus.com/inward/record.url?scp=84880397093&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/KEM.558.128
DO - 10.4028/www.scientific.net/KEM.558.128
M3 - Contribución a la conferencia
AN - SCOPUS:84880397093
SN - 9783037857151
T3 - Key Engineering Materials
SP - 128
EP - 138
BT - Structural Health Monitoring
PB - Trans Tech Publications Ltd
T2 - 4th Asia-Pacific Workshop on Structural Health Monitoring
Y2 - 5 December 2012 through 7 December 2012
ER -