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Updated: May 16, 2025

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基于云端协作深度学习的开关设备部分放电缺陷识别方法

Zhijie Jia1, Songhai Fan2, Zhichuan Wang3

  • 1State Grid Sichuan Electric Power Research Institute, Chengdu, 610000, China. 17856626247@163.com.

Scientific reports
|March 31, 2025
PubMed
概括

本研究介绍了一种边缘计算和深度学习方法,用于切换器部分放电 (PD) 识别. 这种新的方法提高了实时监测和缺陷识别的准确性,提高了电气设备的安全性.

关键词:
深信网络是一个深信网络.边缘计算是一种边缘计算.局部线性嵌入局部线性嵌入部分核准部分核准开关设备 开关设备

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