基于AHIPDNet的变压器异常热精确识别方法

Liu Haoyu1, Gao Shuguo2, Tian Xu3

  • 1State Grid Hebei Electric Power Research Institute, Shijiazhuang, 050021, China. liuhaoyudq@163.com.

Scientific reports
|November 28, 2024
PubMed
概括

这项研究引入了一种改进的YOLOv8模型,用于检测异常的变压器热量,达到93.1%的准确性. 改进的模型有效地识别小目标,并专注于关键热点,以提高电力系统的安全性.

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