Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection
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 prop...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/8/2806 |
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| author | Katherine Tu Clemente Ibarra-Castanedo Stefano Sfarra Yuan Yao Xavier P. V. Maldague |
| author_facet | Katherine Tu Clemente Ibarra-Castanedo Stefano Sfarra Yuan Yao Xavier P. V. Maldague |
| author_sort | Katherine Tu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T12:15:42Z |
| format | Article |
| id | doaj.art-b9f5263568c144a898ce96547ec813bf |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:15:42Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b9f5263568c144a898ce96547ec813bf2023-11-21T15:52:30ZengMDPI AGSensors1424-82202021-04-01218280610.3390/s21082806Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure InspectionKatherine Tu0Clemente Ibarra-Castanedo1Stefano Sfarra2Yuan Yao3Xavier P. V. Maldague4Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, TaiwanDepartment of Electrical and Computer Engineering, Laval University, Québec City, QC G1V 0A6, CanadaDepartment of Industrial and Information Engineering and Economics, University of L’Aquila, I-67100 L’Aquila, AQ, ItalyDepartment of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, TaiwanDepartment of Electrical and Computer Engineering, Laval University, Québec City, QC G1V 0A6, CanadaInfrared 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.https://www.mdpi.com/1424-8220/21/8/2806infrared thermographysolar loading thermographymultiscale analysismultidimensional ensemble empirical mode decompositionprincipal component analysis |
| spellingShingle | Katherine Tu Clemente Ibarra-Castanedo Stefano Sfarra Yuan Yao Xavier P. V. Maldague Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection Sensors infrared thermography solar loading thermography multiscale analysis multidimensional ensemble empirical mode decomposition principal component analysis |
| title | Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection |
| title_full | Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection |
| title_fullStr | Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection |
| title_full_unstemmed | Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection |
| title_short | Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection |
| title_sort | multiscale analysis of solar loading thermographic signals for wall structure inspection |
| topic | infrared thermography solar loading thermography multiscale analysis multidimensional ensemble empirical mode decomposition principal component analysis |
| url | https://www.mdpi.com/1424-8220/21/8/2806 |
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