Power quality disturbance classification based on GAF and a convolutional neural network

被引：0
|
作者：
Zheng, Wei [1 ]
Lin, Ruiquan [1 ]
Wang, Jun [1 ]
Li, Zhenjia [1 ]
机构：
[1] College of Electrical Engineering and Automation, Fuzhou University, Fuzhou,350108, China
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2021年 / 49卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Angular field - Classification methods - Classification performance - Effective power - Network frameworks - Noisy data - Power quality disturbances - Two dimensional images;
D O I：
10.19783/j.cnki.pspc.200997
中图分类号：
学科分类号：
摘要：
31
引用
收藏
页码：97 / 104
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