In this paper,inspired by the improved three ratio method,an online fault diagnosis method for oil immersed transformers based on BP neural network is proposed.The training data for BP neural network is obtained by analyzing the typical characteristic gases dissolved in transformer oil,and typical fault types of oil immersed transformers are classified.The experimental results indicate that the proposed method can effectively classify typical faults in oil immersed transform-ers,which provides an effective support for transformer fault diagnosis.
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