【摘 要】
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Background, Motivation and Objective Carbon fiber-reinforced polymers (CFRP) are widely used in industry thanks to their high-performance mechanical properties. Nevertheless, during CFRPs manufacturin
【机 构】
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Teoría de la Se(n)al, Telemática y Comunicaciones, University of Granada, Granada, Spain
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Background, Motivation and Objective Carbon fiber-reinforced polymers (CFRP) are widely used in industry thanks to their high-performance mechanical properties. Nevertheless, during CFRPs manufacturing, service or maintenance flaws may occur and reduce the strength of the material while remaining invisible from the surface. This work presents an ultrasonic signal classification system that discriminates between different impact damage energies. The proposed system, which is based on a sparse modeling of the ultrasonic propagation into the CFRP plate combined with dimensionality reduction techniques, achieves a 0％ misclassification rate.
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