Transformer substation fault analysis and early warning method and device, storage medium and electronic equipment

The invention relates to the technical field of transformer substation fault monitoring, in particular to a transformer substation fault analysis and early warning method and device, a storage medium and electronic equipment, and the method comprises the steps: carrying out the feature selection of to-be-analyzed transformer substation fault data through employing a Boruta algorithm; inputting the to-be-analyzed transformer substation fault data features after feature selection into a fault prediction model, and outputting a corresponding transformer substation fault; and inputting the transformer substation fault into the risk judgment model for fault risk level prediction. According to the method, the Boruta algorithm is used for carrying out feature selection on the transformer substation fault data, the data set dimension and the calculation complexity are reduced, the extreme learning machine is used for carrying out transformer substation fault prediction, and the Markov chain and the fuzzy matrix are c