Research on fault diagnosis of solar photovoltaic module based on CNN-LSTM

Research on fault diagnosis of solar photovoltaic module based on CNN-LSTM

The solar photovoltaic industry has developed rapidly in recent years. Accurate diagnosis of the location and type of PV module faults can improve the efficiency of operation and maintenance personnel. In this paper, a deep learning diagnostic model based on convolutional neural networks-long short...

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Bibliographic Details
Main Authors:	Cheng Qize, Chen Zehua, Zhang Yunqin, Jiang Wenjie, Liu Xiaofeng, Shen Liang
Format:	Article
Language:	zho
Published:	National Computer System Engineering Research Institute of China 2020-04-01
Series:	Dianzi Jishu Yingyong
Subjects:	photovoltaic module feature extraction cnn lstm fault diagnosis
Online Access:	http://www.chinaaet.com/article/3000117758

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