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Updated: Jun 27, 2025

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基于卷积神经网络的模式识别部分放电在高速电气多个单元电缆终结中的部分放电.

Chuanming Sun1,2, Guangning Wu2, Guixiang Pan1

  • 1CRRC Qingdao Sifang Co., Ltd., Qingdao 266000, China.

Sensors (Basel, Switzerland)
|April 27, 2024
PubMed
概括

卷积神经网络 (CNN) 准确地对高速电动多元单元 (EMU) 电缆终端中的部分放电信号进行分类. 这种先进的方法超越了用于缺陷检测的传统神经网络模型.

关键词:
有线电缆终端的终端电缆.卷积神经网络是一种卷积神经网络.高速电动多个单元.部分放电部分放电模式识别 模式识别 模式识别

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