HIGHLIGHTS
SUMMARY
Many damage imaging methods can be used for defect detection in composite plates, such as the ellipse imaging method, delay-and-sum imaging method, timereversal imaging method, RAPID imaging method, etc. In the above studies of probabilistic damage imaging methods, the specific characteristics of defects (e_g, length and direction of cracks, size of delaminated areas) cannot be precisely known, which reduces the accuracy of defect imaging and affects the application of imaging methods in practice. And based on these defect detection signals, the ML models for defect feature identification are trained, respectively. The optimization . . .
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