Abnormal Scene Image Recognition Method for Intelligent Operation and Maintenance of Electrical Equipment in Substations
Author:
Affiliation:
1. Huazhong University of Science and Technology,School of Electrical and Electronic Engineering,Wuhan,China
2. China Southern Power Grid,Dongguan Power Supply Bureau,Dongguan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256662/10256687/10256971.pdf?arnumber=10256971
Reference22 articles.
1. YOLOv4: Optimal Speed and Accuracy of Object Detection;bochkovskiy,2020
2. YOLOv3: An Incremental Improvement;redmon,2018
3. Detection and recognition of digital instrument in substation using improved YOLO-v3
4. Research on Substation Equipment Rust Detection Method Based on Improved SSD
5. An Infrared Image Detection Method of Substation Equipment Combining Iresgroup Structure and CenterNet
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1. Thermal Defect Identification Method for Power Equipment Based on Redundancy Features;2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET);2024-05-17
2. Exploration on Intelligent Detection Methods for Substation Equipment Based on Deep Learning;2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA);2024-01-26
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