Disclosed in the present invention is a photovoltaic array fault diagnosis method based on composite information, belonging to the technical field of fault diagnosis. The method comprises: collecting composite working state information data of a photovoltaic array and performing preprocessing, the composite working state information data comprising photovoltaic array working state image data and photovoltaic array working state textual data; using the photovoltaic array working state image data to train a pre-established deep convolutional neural network fault classification model, obtaining an image-based fault classification model upon completion of training; using the photovoltaic array working state textual data to train a pre-established fault classification model based on a support vector machine, obtaining a text-based fault classification model upon completion of training; merging the image-based model and the text-based model using a logistic regression algorithm to obtain a merged model, and using the composite working state information data of the photovoltaic array to train the merged model, obtaining a photovoltaic array fault diagnosis model based on composite information upon completion of training.
PHOTOVOLTAIC ARRAY FAULT DIAGNOSIS METHOD BASED ON COMPOSITE INFORMATION