Automatic Identification Technology for Acoustic Emission Damage Types of Composite Materials that Integrates Unsupervised Clustering and LLM Statistical Profiling
To address the challenges of easily confused weak boundary mechanisms and the difficulty in accurately and automatically identifying damage in composite materials under cumulative damage acoustic emission signal classification, this paper employs UMAP dimensionality reduction on the extracted time-frequency-wavelet pac...