Fault prognosis in power transformers using adaptive-network-based fuzzy inference system

摘要

In this paper a new method for estimating dissolved gases of power transformers in the terms of operation time of power transformers using adaptive-network-based fuzzy inference system is presented. Then, transformer condition is evaluated via dissolved gas analysis (DGA) according to IEC 60599 standard. Prominent features of the proposed method are high accuracy, reliability, and high speed convergence in real-world application in spite of the limited numbers of data. The proposed methodology has been evaluated for several real cases while the transformers are operating, and the efficiency of the proposed method is verified.