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Ponencias en congresos:
A robust procedure for Damage detection from strain measurements based on Principal Component Analysis
Año:2012
Áreas de investigación
  • Ingenierías
Datos
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
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jesus Alfredo Guemes Gordo (UPM)
  • Autor: Julian Sierra Perez (UPM)
  • Autor: Jose Rodellar (UPC)
  • Autor: Luis Eduardo Mujica (UPC)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Materiales y Producción Aeroespacial
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