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The aim of this work is to propose and discuss a technique which allows for classifying the defects found in metallic components on the basis of a non-destructive Remote-Field Eddy-Current Technique experimental test (RFEC). To this aim, we propose to employ a Hopfield associative memory as a neural classifier. The performances of the proposed approach are evaluated on real-world data. Receiving winding with induced voltagedoi:10.1109/ijcnn.2000.859425 dblp:conf/ijcnn/BarcheriniCMFB00 fatcat:fv3vp7f6evemdmyz5jkwaun4z4