The segmental spherical shell thin plate defect's detection based on transducer array

The segmental curved spherical shell plate components are widely used in the practical industrial applications, because of the plate's defect, a lot of major accidents occurred and caused significant economic loss. Therefore, based on the fundamental theory of the guide wave that propagating in the aluminum plate, and by solving and analyzing the guide wave's dispersion, the guide wave's inspiring method have been obtained from the wave-mode conversion. Using the wavelet to process the testing signal, and introducing the ellipse localization imaging algorithm to identify the defect's orientation, the defect's localization and orientation can be detected accurately. By using the wavelet transformation as the method to obtain the defect's location parameters and using the ellipse algorithm to imaging the location and its geometric shape, a series of experiment for detecting the artificial defect at the specimen have been done, the results shows that the defect's direction and location can be detected effectively.