Data Expansion and Defect Classification Method for Small Aero-Engine Blade Samples: Low-Rank Adaptation and Edge Information Enhancement
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Deep learning-based defect classification of aero-engine blades faces two critical challenges: scarce training samples and domain shift between laboratory-collected training data and real-world production environments. This study addresses these issues through... ...
