Fault Diagnosis of Power Transformer Based on Rough Set Theory and Bayesian Network
Chen Chengyou · Journal of Shanghai University of Electric Power · 2013
To improve the accuracy of fault diagnosis,the rough set is combined with Bayesian Network according to complementary strategy.This method discretes the ratio of specific gas and uses rough set theory to reduce attribute,obtain the minimal diagnostic rules.At the same time,Bayesian Network is used to realize probability reasoning and analyze the fault of transformer.Finally,the effectiveness and high accuracy rate are validated with the result of practical fault diagnosis examples.