Research On Signal Processing System Of Eddy Current Testing

Nondestructive testing and quality control of metal hardened-depth is a important problem to be solved in machinery industry. It belongs to material property testing. The most difficult task in the testing is the processing and analyzing of the signal. Just making use of the traditional analyzing method of eddy current impedance information is not enough. In this article, pulsed eddy current is used and then spectrum analysis is performed to extract characteristic of the signal. So we can make use of the information more effectively.Artificial neural network is a system composed of many computational elements that are connected through an appropriate set of weights for generating complex decision surface. So it can be used in pattern classification. In this article we use a BP neural network to classify the eddy current signal and its result is also presented, which indicate that artificial neural network has vast potential in eddy current signal processing.