Study on fault fusion diagnosis of power transformer test data analysis and symptoms

Abstract

With the continuous improvement of the level of science and technology, automation, modernization and digital technology have been important applications in the field of power transformation, providing a positive impetus for the development of power transformation to unmanned. Transformer as the key equipment in the substation, its operation safety is very important, once the failure, and has not been found in time, then it will cause unimaginable transformer accidents, resulting in human and economic losses. And transformer fault diagnosis is a problem of multi-factor fault index evaluation, so how to timely and effectively fault diagnosis of transformer is a hot topic. In view of this characteristic, D-S evidence theory is applied to it in this paper. Starting from fault fusion diagnosis, transformer experimental data and symptom phenomena are analyzed at the same time, transformer fault diagnosis is completed, reasonable and accurate diagnosis results are given, and safe operation of substation is escorted.