A robust procedure for damage detection from strain measurements based on principal component analysis

Güemes Gordo, Jesús Alfredo and Sierra Pérez, Julian and Rodellar, J. and Mujica, Luis Eduardo (2013). A robust procedure for damage detection from strain measurements based on principal component analysis. "Key Engineering Materials", v. 558 ; pp. 128-138. ISSN 1013-9826. https://doi.org/10.4028/www.scientific.net/KEM.558.128.

Description

Title: A robust procedure for damage detection from strain measurements based on principal component analysis
Author/s:
  • Güemes Gordo, Jesús Alfredo
  • Sierra Pérez, Julian
  • Rodellar, J.
  • Mujica, Luis Eduardo
Item Type: Article
Título de Revista/Publicación: Key Engineering Materials
Date: 2013
ISSN: 1013-9826
Volume: 558
Subjects:
Freetext Keywords: Principal component Analysis, fiber optic sensors.
Faculty: E.T.S.I. Aeronáuticos (UPM)
Department: Materiales y Producción Aeroespacial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 22352
DC Identifier: http://oa.upm.es/22352/
OAI Identifier: oai:oa.upm.es:22352
DOI: 10.4028/www.scientific.net/KEM.558.128
Official URL: http://www.scientific.net/KEM.558.128
Deposited by: Memoria Investigacion
Deposited on: 07 Apr 2014 15:38
Last Modified: 21 Apr 2016 14:15
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