On the Use of Fuzzy Inference Systems and Support Vector Machines for Classifying Defects in Metallic Plates
نویسندگان
چکیده
Eddy Current Techniques (ECT) for Non-Destructive Testing and Evaluation (NDT/NDE) of conducting materials is one of the most applicationoriented field of research within electromagnetics. In this work, a novel approach is proposed to classify defects in metallic plates in terms of their depth starting from a set of experimental measurements. The problem is solved by means of a system based on wavelets approach extracting information on the specimen under test from the measurements and, then, implementing Fuzzy Inference Systems in order to determine its depth. Shannon Fuzzy Entropy and Subsethood operators have been taken into account to improve the procedure. Finally, a comparison with Support Vector Machines is presented.
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