Distribution Transformer Residual Life Prediction Based on the Theory of Markov

It has been an important subject that how to apply transformer condition information efficiently and scientifically to judge the transformers state and predict the remaining life. This paper, in view of the distribution transformer test information, analyzed the factors affecting its residual life evaluation, and established the evaluation model of distribution transformer. Based on the existing research results and the introduction of improved Markov prediction method, it finally established a dynamic variable metric improved Markov distribution transformer life prediction model. Actual data verified the effectiveness and reasonability of the model.