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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. | |
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Internacional
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Si |
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Nombre congreso
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4th Asia-Pacfic Workshop on Structural Health Monitoring |
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Tipo de participación
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960 |
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Lugar del congreso
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Melbourne, Australia |
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Revisores
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Si |
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ISBN o ISSN
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1013-9826 |
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DOI
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Fecha inicio congreso
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05/12/2012 |
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Fecha fin congreso
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07/12/2012 |
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Desde la página
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1 |
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Hasta la página
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11 |
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Título de las actas
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Proceedings of the 4th Asia-Pacfic Workshop on Structural Health Monitoring |