Adaptive Scanning Algorithm Based on Neural Network Prediction of Eddy Current Testing Signals

Abstract

In this paper an adaptive scanning algorithm for Eddy Current Non-Destructive Testing (EC NDT) is proposed. It is based on neural prediction of EC signals. A set of experiments were carried out in order to prove usability of the method (verification by numerical analysis and measurements of INCONEL 600 1.25 mm thin plates). Proposed algorithm may be used as a part of intelligent NDT system.