Articles | Volume 3, issue 1
https://doi.org/10.5194/jsss-3-105-2014
https://doi.org/10.5194/jsss-3-105-2014
Regular research article
 | 
14 May 2014
Regular research article |  | 14 May 2014

Principal component analysis for fast and automated thermographic inspection of internal structures in sandwich parts

D. Griefahn, J. Wollnack, and W. Hintze

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Cited articles

Bitzer, T.: Honeycomb technology: Materials, design, manufacturing, applications and testing, 1st Edn., Chapman & Hall, London, 1997.
Emery, W. J. and Thomson, R. E.: Data analysis methods in physical oceanography, 2. and rev. ed., 3. impr., Elsevier, Amsterdam, 2004.
Euro-Composites©, Infrastructure and production technologies – Panel Production: http://www.euro-composites.com/en/technology/Seiten/panel.html (last access: 13 March 2013), 2009.
Feuillet, V., Ibos, L., Fois, M., Dumoulin, J., and Candau, Y.: Defect detection and characterization in composite materials using square pulse thermography coupled with singular value decomposition analysis and thermal quadrupole modeling, NDT&E Int., 51, 58–67, 2012.
Ibarra-Castanedo, C., Piau, J.-M., Guilbert, S., Avdelidis, N. P., Genest, M., Bendada, A., and Maldague, X. P. V.: Comparative Study of Active Thermography Techniques for the Nondestructive Evaluation of Honeycomb Structures, Res. Nondestruct. Eval., 20, 1–31, 2009.