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连接到电网的光伏系统的故障检测和诊断,使用基于能量谷优化器的轻量级CNN和波纹变换

Ali Teta1,2, Belkacem Korich3,4, Derradji Bakria3,4

  • 1Department of Electrical Engineering, Faculty of Science and Technology, University of Djelfa, Djelfa, Algeria. ali.teta@univ-djelfa.dz.

Scientific reports
|August 14, 2024
PubMed
概括

本研究介绍了一种轻量级的卷积神经网络 (CNN),由能源谷优化器 (EVO) 优化,用于网联光伏系统 (GCPS) 的早期故障诊断. 该方法在检测故障方面显示出高精度和可靠性.

关键词:
连续波形变换连续波形变换.卷积神经网络是一种卷积神经网络.错误诊断 错误诊断 错误诊断 错误诊断 错误诊断 错误诊断 错误诊断 错误诊断连接到电网的光伏系统.

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