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Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection.
Tu, Katherine; Ibarra-Castanedo, Clemente; Sfarra, Stefano; Yao, Yuan; Maldague, Xavier P V.
Afiliación
  • Tu K; Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Ibarra-Castanedo C; Department of Electrical and Computer Engineering, Laval University, Québec City, QC G1V 0A6, Canada.
  • Sfarra S; Department of Industrial and Information Engineering and Economics, University of L'Aquila, I-67100 L'Aquila, AQ, Italy.
  • Yao Y; Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Maldague XPV; Department of Electrical and Computer Engineering, Laval University, Québec City, QC G1V 0A6, Canada.
Sensors (Basel) ; 21(8)2021 Apr 16.
Article en En | MEDLINE | ID: mdl-33923607
Infrared thermography has been widely adopted in many applications for material structure inspection, where data analysis methods are often implemented to elaborate raw thermal data and to characterize material structural properties. Herein, a multiscale thermographic data analysis framework is proposed and applied to building structure inspection. In detail, thermograms are first collected by conducting solar loading thermography, which are then decomposed into several intrinsic mode functions under different spatial scales by multidimensional ensemble empirical mode decomposition. At each scale, principal component analysis (PCA) is implemented for feature extraction. By visualizing the loading vectors of PCA, the important building structures are highlighted. Compared with principal component thermography that applies PCA directly to raw thermal data, the proposed multiscale analysis method is able to zoom in on different types of structural features.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza