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Güemes Gordo, Jesús Alfredo, Sierra Pérez, Julian, 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.
Title: | A robust procedure for damage detection from strain measurements based on principal component analysis |
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Author/s: |
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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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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.
Item ID: | 22352 |
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DC Identifier: | https://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 |