Independent Component Analysis Applied on Pulsed Thermographic Data for Carbon Fiber Reinforced Plastic Inspection: A Comparative Study

Dimensional reduction methods have significantly improved the simplification of Pulsed Thermography (PT) data while improving accuracy results. Such approaches reduce quantity to analyze and improve contrast main defects in samples contributed their popularity. Many works been proposed literature mainly based on Principal Component (PCT). Recently Independent Analysis (ICA) has a topic attention. different solve ICA. In this paper, we investigated several recent ICA evaluated influence PT compared with state-of-the-art methods. We conducted our evaluation reference CFRP known defects. found that outperform PCT for small deep For other results are often not far from obtained by PCT. However, frequency acquisition great