Dissolved gas analysis of insulating oil for power transformer fault diagnosis with deep belief network

Abstract

Dissolved gas analysis (DGA) of insulating oil can provide an important basis for transformer fault diagnosis. To improve diagnosis accuracy, this paper presents a new transformer fault diagnosis method based on deep belief networks (DBN). By analyzing the relationship between the gases dissolved in transformer oil and fault types, the Non­code ratios of… (More)

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Cite this paper

@article{Dai2017DissolvedGA, title={Dissolved gas analysis of insulating oil for power transformer fault diagnosis with deep belief network}, author={Jiejie Dai and Hui Song and Gehao Sheng and Xiuchen Jiang}, journal={IEEE Transactions on Dielectrics and Electrical Insulation}, year={2017}, volume={24}, pages={2828-2835} }