Signal restoration using dynamic neural network model for eddy current nondestructive testing

In this paper we propose to use a multi-frequency excitation and spectrogra m (MFES) eddy current testing method and a neural network model to flaw sig nal restoration in case of presence of interferences from fasteners and sub surface structures. The extended experiments with various interfering struc tures were performed in order to verify the usability of the proposed resto ration method. The selected results of numerical simulations are presented.