Peijie Liao

Deep learning-based identification of mixed-mode acoustic emission signals and damage coupling analysis in composite adhesive joints

A novel identification approach utilizing a deep learning-based ensemble method combined with tailored pre- and post-processing techniques offers a robust solution for analyzing complex AE signals and provides new insights into the intrinsic mechanisms of AE activity in composite structures.