ShuffleNetV2.

Qiang Guo1, Haiyan Yao1, Yuefei Xu2

  • 1Hangzhou Power Equipment Manufacturing Co., Ltd. Yuhang Qunli Complete Electrical Equipment Manufacturing Branch, Hangzhou, 310000, China.

Scientific reports
|July 3, 2025
PubMed
概括

本研究介绍了一种使用格拉米安角场 (GASF/GADF) 图像和优化的ShuffleNetV2模型的新变压器故障诊断方法. 该方法显著提高了诊断的准确性和稳定性,克服了手工方法的局限性.

相关概念视频

Bus Impedance Matrix01:24

Bus Impedance Matrix

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Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

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Fault Types01:18

Fault Types

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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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Multimachine Stability01:25

Multimachine Stability

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Reducing Line Loss01:18

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