公开(公告)号：US20210135625A1

公开(公告)日：2021-05-06

申请号：US17093244

申请日：2020-11-09

申请人： BEIJING INSTITUTE OF TECHNOLOGY

发明人： Fang DENG ,  Zelang LIANG ,  Ning DING ,  Xinyu FAN ,  Xin GAO ,  Yuyun CAI ,  Jie CHEN

IPC分类号： H02S50/10 ,  G06N3/08 ,  G06N3/04 ,  G06T7/00 ,  G06K9/62 ,  G06K9/46

摘要： A photovoltaic array fault diagnosis method based on composite information is provided. The method includes: collecting and preprocessing composite information data of photovoltaic array working state, including image data and text data; using the image data of photovoltaic array working state to train a pre-established fault classification model of deep convolutional neural network, to thereby obtain an image fault classification model; using the text data of photovoltaic array working state to train a pre-established fault classification model based on a support vector machine, to thereby obtain a text fault classification model; fusing the image fault classification model and the text fault classification model by logistic regression algorithm to obtain a fusion model, and training the fusion model using the composite information data of photovoltaic array working state to thereby obtain the photovoltaic array fault diagnosis model.