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基于稀疏自编码的过电压特征提取与分类方法

High Voltage Apparatus(2019)

Cited 2|Views20
Abstract
随着智能电网的发展,识别和处理各种类型的过电压和故障具有越来越重要的意义.文中提出了一种基于稀疏自编码的过电压智能分类识别框架,依靠多层自编码器,实现了电力系统中实测铁磁谐振过电压波形的特征自提取,然后利用Softmax分类器完成精确分类,调节模型参数实现最优分类结果.该框架可应用到实际应用中,为建立过电压智能分类识别系统提供了一个全新的思路与方法.
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