Descripción
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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 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. | |
Internacional
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Si |
JCR del ISI
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No |
Título de la revista
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Key Engineering Materials |
ISSN
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1013-9826 |
Factor de impacto JCR
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0,247 |
Información de impacto
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SJR 2010 |
Volumen
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558 |
DOI
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Número de revista
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Desde la página
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128 |
Hasta la página
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138 |
Mes
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SIN MES |
Ranking
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