A soft computing approach to reconstruct defects on metallic plates

Eddy current techniques (ECT) for Nondestructive Testing and Evaluation (NDT/NDE) of conducting materials is one of the most application-oriented field of research within electromagnetics. In this work, a fuzzy approach is proposed to estimate the presence of holes in metallic plates starting from a set of experimental eddy current measurements, carried out at the NDT Lab in Reggio Calabria. The above inverse problem is solved by means of a system that extracts information on the specimen under test from the measurements and implements a priori constraints to facilitate the detection and characterization of the defect. The method utilizes the concepts of fuzzy inference in order to estimate the location of the defect from a reduced set of features.