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Application of Hyperspectral Band Elimination Technique to PVT Images of Composite Structures
Faculty of Science and Information Technology, Department of Computer Science, Al-Zaytoonah University of Jordan, Amman, Jordan
- 1 Faculty of Science and Information Technology, Department of Computer Science, Al-Zaytoonah University of Jordan, Amman, Jordan
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Abstract
A new approach to NDT of composite structures using Band Elimination of the analyzed image index by Hyperspectral image analysis approach is presented and discussed. The matrix Band Elimination technique allows the monitoring and analysis of a components structure based on Filtering of bands and correlation between sequentially pulsed thermal images and their indices. The technique produces several matrices resulting from frame deviation and pixel redistribution calculations for intelligent classification and property prediction. The obtained results proved the technique to be capable of identifying damaged components with ability to model various types of damage under different conditions.
KeywordsHyperspectralThermographyNDECompositesDamage DetectionPVTNeural Networks
- D. P. Myriounis, E. Z. Kordatos, S. T. Hasan and T. E. Matikas, “Crack-Tip Stress Field and Fatigue Crack Growth Monitoring Using Infrared Lock-In Thermography in A359/SiCp Composites,” Strain, Vol. 47, No. s1, 2011, pp. e619-e627. doi:10.1111/j.1475-1305.2009.00665.x
- B. B. Lahiria, S. Bagavathiappana, P. R. Reshmib, John Philipa, T. Jayakumara and B. Raja, “Quantification of Defects in Composites and Rubber Materials Using Active Thermography,” Infrared Physics & Technology, Vol. 55, No. 2-3, 2012, pp. 191-199. doi:10.1016/j.infrared.2012.01.001
- M. Naderi, A. Kahirdeh and M. M. Khonsari, “Dissipated Thermal Energy and Damage Evolution of Glass/Epoxy Using Infrared Thermography and Acoustic Emission,” Composites Part B: Engineering, Vol. 43, No. 3, 2012, pp. 1613-1620.
- C. Q. Wu, W. P. Wang, Q. G. Yuan, Y. J. Li, W. Zhang and X. D. Zhang, “Infrared Thermography Non-Destructive Testing of Composite Materials,” Advanced Materials Research, Vol. 291-294, 2011, pp. 1307-1310. doi:10.4028/www.scientific.net/AMR.291-294.1307
- L. Cheng and G. Y. Tian, “Comparison of Nondestructive Testing Methods on Detection of Delaminations in Composites,” Journal of Sensors, Vol. 2012, No. 2012, 2012, Article ID: 408437.
- M. Kutin, S. Risti?, M. Puhari?, M. Vilotijevi? and M. Krmar, “Thermographic Testing of Epoxy-Glass Composite Tensile Properties,” Contemporary Materials, Vol. II, No. 2, 2011, pp. 88-93.
- P. Baranowski, W. Mazurek, J. Wozniak and U. Majewska, “Detection of Early Bruises in Apples Using Hyperspectral Data and Thermal Imaging,” Journal of Food Engineering, Vol. 110, No. 3, 2012, pp. 345-355. doi:10.1016/j.jfoodeng.2011.12.038
- F. D. van der Meer, H. A. van der Werff, F. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. M. Carranza, J. Boudewijn de Smeth and T. Woldai, “Multiand Hyperspectral Geologic Remote Sensing: A Review,” International Journal of Applied Earth Observation and Geoinformation, Vol. 14, No. 1, 2012, pp. 112-128. doi:10.1016/j.jag.2011.08.002
- F. Liu, F. Seinstra and A. Plazac, “Parallel Hyperspectral Image Processing on Distributed Multicluster Systems,” Journal of Applied Remote Sensing, Vol. 5, No. 1, 2011, pp. 1-14.
- A. Picón, O. Ghita, A. Bereciartua, J. Echazarra, P. Whelan and P. Iriondo, “Real-Time Hyperspectral Processing for Automatic Nonferrous Material Sorting,” Journal of Electronic Imaging, Vol. 21, No. 1, 2012, pp. 1-9.