Abstract: This paper mainly describes that use BP neural network to analyse transformer oil dissolved gas and diagnosis transformer fault. In this paper,use several BP neural network algorithm to network modeling and simulation,analyses and compares these algorithm,get the variable learning rate momentum BP algorithm which is better than other algorithms that is the adaptive learning rate method combined with momentum BP method,estabilish a neural network model with strong learning ability and adaptability,the generalization ability,and experiment shows the accuracy of transformer fault diagnosis.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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