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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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基于ARO-SVM的高压电缆交叉连接接地系统的反向连接缺陷的诊断

Yuhao Ai1,2, Bin Song1,2, Shaocheng Wu1,2

  • 1Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China.

Sensors (Basel, Switzerland)
|January 25, 2025
PubMed
概括

本研究引入了一种用于检测高压 (HV) 电缆反向连接缺陷的新方法. 通过使用盖状电流分析和优化支向量机 (SVM) 模型,它在诊断这些关键故障时达到99%以上的准确性.

关键词:
ARO ARO 是一个缺陷诊断 缺陷诊断 缺陷诊断 缺陷诊断高压电缆高压电缆护套当前的电流是什么

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