Robust Principal Component Thermography for Defect Detection in Composites.Pulsed Thermography (PT) data are usually affected by noise and as such most of the research effort in the last few years has been directed towards the development of advanced signal processing methods to improve defect detection.  Among the numerous techniques that have been proposed, principal component thermography (PCT)-based on principal component analysis (PCA)-is one of the most effective in terms of defect contrast enhancement and data compression.  The performance of the resulting approach, Robust Principal Component Thermography (RPCT)-based on RPCA, was evaluated with respect to PCT-based on PCA, using a CFRP sample containing artificially produced defects. 
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