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