Data-Driven Method for the Measurement of Thickness/Depth Using Pulsed Eddy Current

A data-driven method is used to measure the thickness/subsurface-crack-depth of metal specimens. The measuring system is driven by a pulsed eddy current (PEC), and for every detection process a huge data set is obtained because. of the high detection speed. To choose the best data to compute the thickness/subsurface-crack-depth, the Jarque-Bera (JB) statistical test is imported into the algorithm. The proposed method is applied to select the best data from the huge detection data set by utilizing the statistical characteristics of the data. Influenced by noise, the detection results may differ when the same thickness/subsurface-crack-depth is measured. To guarantee the accuracy of the measurement, principal component analysis (PCA) is used to combine all detection data. Experimental results show the advantages of the proposed method.