A Defect Detection Method for a Boiler Inner Wall Based on an Improved YOLO-v5 Network and Data Augmentation Technologies
During the long-term operation of a coal-fired boiler, some defects of its inner wall are unavoidable. The traditional manual detecting method is time-consuming and not safe for maintenance engineers. In this paper, we propose an automatic detection method to deal with inner wall defects based on an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9880480/ |