PHOTOVOLTAIC ARRAY FAULT DIAGNOSIS METHOD BASED ON COMPOSITE INFORMATION

    公开(公告)号:US20210135625A1

    公开(公告)日:2021-05-06

    申请号:US17093244

    申请日:2020-11-09

    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.