基于深度学习的变压器在线故障检测

Transformer online fault detection based on deep learning

摘要:

针对供配电网络中变压器故障检测和预报的不足,提出基于深度学习的变压器故障检测方法,详细介绍了变压器监测数据预处理方法及步骤,给出了深度学习网络的具体结构和学习过程,深度学习结果表明该故障检测方法的有效性和实用性。

Abstract:

In view of the shortage of transformer fault detection and prediction in power supply and distribution network, proposed a transformer fault detection method based on deep learning, introduced in detail the methods and steps of transformer monitoring data preprocessing, gave the specific structure and learning process of deep learning network. The results of network learning show that the fault detection method is effective and practical.