Transformer abnormal heat accurate identification method based on AHIPDNet

Transformer abnormal heat accurate identification method based on AHIPDNet

Abstract Transformer is an important part of the power system, and its operation status is related to the safety and stability of the power system. In order to effectively improve the recognition accuracy of abnormal transformer heat, an improved YOLOv8 target detection algorithm model is proposed....

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Bibliographic Details
Main Authors: Liu Haoyu, Gao Shuguo, Tian Xu, Zang Qian, Guo Meng, Li Keyu, Pei Shaotong, Wang Weiqi
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Abnormal heat detection
Transformer
YOLOv8
Complex background detection
Online Access:https://doi.org/10.1038/s41598-024-81286-1
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https://doi.org/10.1038/s41598-024-81286-1

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