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Wind Turbine Blade Defect Recognition Method Based on Large-Vision-Model Transfer Learning
The method leverages large vision models, such as Vision Transformers and ResNet, combined with transfer learning to detect defects in wind turbine blades. By fine-tuning pretrained models on turbine-specific datasets, it enhances defect recognition accuracy, reduces training data needs, and supports automated, scalable inspections. This ...
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