Damage Detection in Composite Materials with ML

You can describe the full thesis here: problem definition, industrial context, and why damage detection in composites is important.

Approach

Explain your data (sensors, loading scenarios), how you processed the signals, and what kind of ML models you used (ensemble, feature engineering, training strategy).

Results & Impact

Summarize accuracy, robustness, and what the method enables in real-world monitoring (early detection, localization, improved safety, etc.).