Transformer risk prediction method based on markov and entropy weight fuzzy comprehensive evaluation

The invention relates to a transformer risk prediction method based on markov and entropy weight fuzzy comprehensive evaluation. The method comprises the following steps of: (1) establishing a transformer full-stage model based on a markov process; (2) acquiring a markov state transition diaphragm of a transformer at a running state according to the transformer full-stage model, and the probability of the transformer at full state as well as the fault frequency of each part of the transformer; (3) calculating the fault severity of each part in faults through an entropy weight fuzzy algorithm; and (4) determining the risk of each part of the transformer according to the fault frequency and the fault severity of each part. Compared with the prior art, the transformer risk prediction method based on markov and entropy weight fuzzy comprehensive evaluation provided by the invention has the advantages of high precision, high accuracy and the like.