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- W2040928051 abstract "In recent years, improved three-ratio is an effective method for transformer fault diagnosis based on Dissolved Gas Analysis (DGA). In this paper, diagonal recurrent neural network (DRNN) is used to resolve the online fault diagnosis problems for oil-filled power transformer based on DGA. To overcome disadvantages of BP algorithm, a new recursive prediction error algorithm (RPE) is used in this paper.In addition, to demonstrate the effectiveness and veracity of the proposed method, some cases are used in the simulation. The simulation results are satisfactory." @default.
- W2040928051 created "2016-06-24" @default.
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- W2040928051 date "2014-06-01" @default.
- W2040928051 modified "2023-09-27" @default.
- W2040928051 title "Power Transformers Fault Diagnosis Based on DRNN" @default.
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- W2040928051 doi "https://doi.org/10.4028/www.scientific.net/amr.960-961.700" @default.
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