In view of such issues as lack of data and the mutual neutralization between evaluation data in the state assessment of converter transformer

a kind of state assessment model of converter transformer combining variable weight theory and bullseye proximity is proposed. Firstly

considering the dynamic development of data in actual cases

the variable weight model is used to perform the variable weight treatment in accordance with the deterioration degree of the index quantity. Secondly

for reducing the data demand and accurately assessing state of the converter transformer

the bullseye proximity model is used to determine the closeness of the converter transformer to each state level. Finally

the membership degree function is used to convert the bullseye proximity degree into the membership degree and calculate the final state of the converter transformer. Actual cases show that the state assessment model proposed in this paper can not only effectively assess the health state of converter transformers but also apply to power transformer. Under the premise of assuring the assessment accuracy

the data volume requirement is small

the assessment process is simple and direct

and it has practical application and reference value.