Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
A robust procedure for damage detection from strain measurements based on principal component analysis
Año:2013
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
JCR del ISI
No
Título de la revista
Key Engineering Materials
ISSN
1013-9826
Factor de impacto JCR
0,247
Información de impacto
SJR 2010
Volumen
558
DOI
Número de revista
Desde la página
128
Hasta la página
138
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Julian Sierra Perez (UPM)
  • Autor: Jesus Alfredo Guemes Gordo (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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