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

A. Guemes, J. Sierra-Pérez, J. Rodellar, L. Mujica

    Producción científica: Capítulo del libro/informe/acta de congresoPonencia publicada en las memorias del evento con ISBNrevisión exhaustiva

    2 Citas (Scopus)

    Resumen

    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.

    Idioma originalInglés
    Título de la publicación alojadaStructural Health Monitoring
    Subtítulo de la publicación alojadaResearch and Applications
    EditorialTrans Tech Publications Ltd
    Páginas128-138
    Número de páginas11
    ISBN (versión impresa)9783037857151
    DOI
    EstadoPublicada - 2013
    Evento4th Asia-Pacific Workshop on Structural Health Monitoring - Melbourne, VIC, Australia
    Duración: 5 dic. 20127 dic. 2012

    Serie de la publicación

    NombreKey Engineering Materials
    Volumen558
    ISSN (versión impresa)1013-9826
    ISSN (versión digital)1662-9795

    Conferencia

    Conferencia4th Asia-Pacific Workshop on Structural Health Monitoring
    País/TerritorioAustralia
    CiudadMelbourne, VIC
    Período5/12/127/12/12

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