Insulator defect detection under extreme weather based on synthetic weather algorithm and improved YOLOv7
Abstract Efficient and accurate insulator defect detection is essential for maintaining the safe and stable operation of transmission lines. However, the detection effectiveness is adversely impacted by complex and changeable environmental backgrounds, particularly under extreme weather that elevate...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-02-01
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| Series: | High Voltage |
| Online Access: | https://doi.org/10.1049/hve2.12513 |
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