After one year's review and modification, our research about pulsed eddy current testing is published in the well-known international journal NDT&E international. Pulsed eddy current testing technique is a very attractive electrmagnetic nondestructive technique which contains amounts of frequency components. However, in specific situation or application, 'the more' does not always mean 'the better'. Our research reveals that in terms of thickness measurement, a mixed feature comprising two or three frequencies is more linear and accurate than the traditional peak time and decay coefficient of pulsed eddy current testing. Proper frequency component selection is more efficient than blindly increasing frequency numbers. It seems that always insisting pulsed eddy current testing is rich in information is improper. Below is the abstract of our research:
Author: Jiuhao Ge, Noritaka Yusa, Mengbao Fan
Title: Frequency component mixing of pulsed or multi-frequency eddy current testing for nonferromagnetic plate thickness measurement using a multi-gene genetic programming algorithm
Abstract: For the efficient use of frequency components, a frequency mixed feature for pulsed eddy current testing (PECT) or multi-frequency eddy current testing (MultiECT) was proposed for measuring nonferromagnetic plate thickness measurement. An evolutionary algorithm, multigene genetic programming, was employed to mix the frequency components using the best linearity as a target. Time domain and frequency domain finite element simulations of PECT and MultiECT were conducted. The simulation results revealed that, for in terms of thickness measurement, a mixed feature comprising two or three frequencies was more linear and accurate than the traditional peak time and decay coefficient of PECT. Experiments were conducted to validate the results of the simulations and to test the mixed feature in aluminum plate thickness evaluations. The experimental results also revealed that the use of more frequencies did not always increase the accuracy of thickness evaluations. Proper frequency component selection was more efficient than blindly adding increasing frequency numbers.