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Jan, 2022
输电线路故障诊断的迁移学习
Transfer Learning for Fault Diagnosis of Transmission Lines
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Fatemeh Mohammadi Shakiba, Milad Shojaee, S. Mohsen Azizi, Mengchu Zhou
TL;DR
提出一种新颖的基于预训练的卷积神经网络的转移学习框架,应用于不同长度和阻抗的变电站输电线路故障诊断,证明其在这方面的可行性和有效性。
Abstract
Recent
artificial intelligence
-based methods have shown great promise in the use of
neural networks
for real-time sensing and detection of transmission line faults and estimation of their locations. The expansion
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