Neural network models of eddy current sensor

抄録

In this paper we propose to use a dynamic neural networks as multi-frequency models of eddy current sensor. Two models are proposed: a forward model, which could be utilized as a fast solver in an inversion iterative algorithm, and an inverse model, which enable us to directly obtain an unknown flaw profile directly from the sensor output signal.