Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging
The study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. The authors employ adaptive fixed-rank kriging to analyze a sequence of thermograms obtained in the AIRT experiment. Using basis function...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/51/1/43 |
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| author | Chun-Han Chang Stefano Sfarra Nan-Jung Hsu Yuan Yao |
| author_facet | Chun-Han Chang Stefano Sfarra Nan-Jung Hsu Yuan Yao |
| author_sort | Chun-Han Chang |
| collection | DOAJ |
| description | The study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. The authors employ adaptive fixed-rank kriging to analyze a sequence of thermograms obtained in the AIRT experiment. Using basis functions derived from thin-plate splines, the data features are represented at various resolution levels, resulting in a concise spatial covariance function representation. Eigenfunctions are then derived from the estimated covariance function to capture spatial structures at different scales. Visualizing these eigenfunctions highlights defect information. The authors validate their approach through a pulsed thermography experiment on a carbon-fiber-reinforced plastic (CFRP) sample, demonstrating its effectiveness in detecting defects. |
| format | Article |
| id | doaj-art-3e7dbd7dd05b461eb380266ec6a46a26 |
| institution | OA Journals |
| issn | 2673-4591 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-3e7dbd7dd05b461eb380266ec6a46a262025-08-20T01:55:27ZengMDPI AGEngineering Proceedings2673-45912023-12-015114310.3390/engproc2023051043Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank KrigingChun-Han Chang0Stefano Sfarra1Nan-Jung Hsu2Yuan Yao3Department of Chemical Engineering, National Tsing Hua University, Hsinchu 300044, TaiwanDepartment of Industrial and Information Engineering and Economics, University of L’Aquila, 67100 L’Aquila, ItalyInstitute of Statistics, National Tsing Hua University, Hsinchu 300044, TaiwanDepartment of Chemical Engineering, National Tsing Hua University, Hsinchu 300044, TaiwanThe study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. The authors employ adaptive fixed-rank kriging to analyze a sequence of thermograms obtained in the AIRT experiment. Using basis functions derived from thin-plate splines, the data features are represented at various resolution levels, resulting in a concise spatial covariance function representation. Eigenfunctions are then derived from the estimated covariance function to capture spatial structures at different scales. Visualizing these eigenfunctions highlights defect information. The authors validate their approach through a pulsed thermography experiment on a carbon-fiber-reinforced plastic (CFRP) sample, demonstrating its effectiveness in detecting defects.https://www.mdpi.com/2673-4591/51/1/43thermographic data processingactive thermographyadaptive fixed-rank krigingdefect detection |
| spellingShingle | Chun-Han Chang Stefano Sfarra Nan-Jung Hsu Yuan Yao Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging Engineering Proceedings thermographic data processing active thermography adaptive fixed-rank kriging defect detection |
| title | Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging |
| title_full | Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging |
| title_fullStr | Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging |
| title_full_unstemmed | Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging |
| title_short | Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging |
| title_sort | spatial structure analysis for subsurface defect detection in materials using active infrared thermography and adaptive fixed rank kriging |
| topic | thermographic data processing active thermography adaptive fixed-rank kriging defect detection |
| url | https://www.mdpi.com/2673-4591/51/1/43 |
| work_keys_str_mv | AT chunhanchang spatialstructureanalysisforsubsurfacedefectdetectioninmaterialsusingactiveinfraredthermographyandadaptivefixedrankkriging AT stefanosfarra spatialstructureanalysisforsubsurfacedefectdetectioninmaterialsusingactiveinfraredthermographyandadaptivefixedrankkriging AT nanjunghsu spatialstructureanalysisforsubsurfacedefectdetectioninmaterialsusingactiveinfraredthermographyandadaptivefixedrankkriging AT yuanyao spatialstructureanalysisforsubsurfacedefectdetectioninmaterialsusingactiveinfraredthermographyandadaptivefixedrankkriging |