Study on Novel Surface Defect Detection Methods for Aeroengine Turbine Blades Based on the LFD-YOLO Framework
This study proposes a novel defect detection method to address the low accuracy and insufficient efficiency encountered during surface defect detection on aeroengine turbine blades (ATBs). The proposed approach employs the LDconv model to adjust the size and shape of convolutional kernels dynamicall...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2025-04-01
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| Serija: | Sensors |
| Teme: | |
| Online pristup: | https://www.mdpi.com/1424-8220/25/7/2219 |
| Oznake: |
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