Power transmission line fault detection method and system based on machine learning

The invention discloses a power transmission line fault detection method and system based on machine learning. The method comprises the steps of data acquisition, data preprocessing, feature extraction, power transmission line fault detection and model evaluation. The invention relates to the technical field of fault detection, in particular to a power transmission line fault detection method and system based on machine learning, and adopts a hybrid model based on a neural network and multilayer perceptron interpolation to carry out missing value interpolation, so that the accuracy of missing value interpolation is improved; according to the scheme, when the decision tree model is constructed for feature division, the maximum information gain rate is adopted for division, the information splitting rate and the information gain rate are calculated on the basis of the information gain, the attribute nodes are fairly selected, the importance of the features is comprehensively evaluated, the more accurate feature