摘要
将模糊技术与神经网络引入到变压器故障诊断中,提出了运用基于特征气体法的神经网络模块和基于改良三比值法的模糊神经网络模块对变压器油中溶解气体进行综合分析,判断油中溶解气体的特征,以此来诊断变压器可能发生的故障。
This paper introduces fuzzy technique and neural network in transformer fault diagnosis,and proposes to use characteristic gas -based neural network and proved three gas ratios -based fuzzy neural network analyze the oil dissolved gases for making comprehensive analysis,diagnosing the possible fault in transformer.This approach is proven by experiments.
出处
《陕西电力》
2010年第5期53-56,共4页
Shanxi Electric Power
