Intelligent distribution network fault diagnosis positioning method based on deep learning algorithm

According to the intelligent distribution network fault diagnosis and positioning method based on the deep learning algorithm, the problems that power distribution network fault diagnosis and positioning time is long, fault point positioning is not accurate enough, and the first-aid repair efficiency of first-aid repair personnel is low are solved, and the intelligent distribution network fault diagnosis and positioning method based on the deep learning algorithm is provided. According to the method, data preprocessing is performed on fault data, abnormal data and missing data are eliminated, and recognition of the fault type of the power distribution network is completed by picking up a fault recognition model; an intelligent fault line selection model of the power distribution network is graded based on a deep learning algorithm, and fault lines are screened according to the model; and finally, visually displaying the fault section and the fault point of the power distribution network in the positioned faul