
Expert system for predicting the state of transformers based on fuzzy logic
Author(s) -
A P Khlebtsov,
I A Rybakov,
Nikolai Svishchev,
А. Н. Шилин
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/976/1/012001
Subject(s) - transformer , fuzzy logic , computer science , reliability engineering , engineering , electrical engineering , control engineering , artificial intelligence , voltage
The article examines methods for monitoring the operation of oil-filled transformers and identifies methods for evaluating the state of the transformer using a fuzzy logic device. Solutions for remote analysis of transformer operation have been formed. The methods that were used for diagnostics are presented. Conclusions are drawn on which equipment is more effective for diagnostics of power transformers.