Defect Detection and Identification of Point-Focusing Shear-Horizontal EMAT for Plate Inspection

As a kind of nondestructive testing (NDT) method, shear-horizontal (SH)-guided wave detection technology is widely used on an electromagnetic acoustic transducer (EMAT). Although ultrasonic-guided waves perform well in defect location, it difficult to obtain detailed information about defects, and the low efficiency EMAT energy conversion still reduces EMAT’s performance. Therefore, this work, method different shapes sizes by point-focusing (PFSH)-guided with use periodic permanent magnet (PPM) investigated through simulation experiment. For purpose classification quantification, extraction principles features are obtained based circumferential scatter diagrams, neural network (NN) process extracted from experimental data. The results show that extracting effective diagram, high-accuracy high-precision quantification defects under influence focusing can be achieved.