In order to evaluate the operating condition of the distribution transformer more accurately

we establish a condition assessment model of the distribution transformer based on the multi-period information fusion. Quantitative indexes are evaluated with the reasonable condition evaluation function; qualitative indexes are evaluated by synthesizing two kinds of expert investigation method based on the set-valued statistics and importing the expert evaluating trust factor; optimal weights of the model are decided with the fuzzy analytic hierarchy process and the similarity clustering analysis; the improved evidence theory and the multivariate grey prediction model are adopted to fuse multi-period condition information of the distribution information

and then the assessing result of the transformer is obtained according to the multi-stage fuzzy comprehensive evaluation. The condition of 54 distribution transformers is evaluated with the assessment model

and the assessment accuracy of the model is about 96.296% by comparing the condition assessment result and the actual operation condition of every transformer. The feasibility of the model proposed is verified by actual test data so that the model can provide a new thought for condition assessment of the distribution transformer.