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- W2393987870 abstract "In transformer fault,except deterioration of oil,the other major fault shall be partial discharge.The wavelet singularity detection theory and fuzzy neural network was combined.Firstly,for the signal while transformer partial discharge,wavelet singularity detection theory was used to calculate singularity index and took it as fault diagnosis characteristic parameters.Secondly,it was fuzzed as the input of neural network,the output were various failures of the membership grade.And then,determining the possibility of transformer what fault there was.Simulation results show that the method used for transformer fault diagnosis of partial discharge is effective." @default.
- W2393987870 created "2016-06-24" @default.
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- W2393987870 date "2010-01-01" @default.
- W2393987870 modified "2023-09-23" @default.
- W2393987870 title "Wavelet Singularity Fault Diagnosis of Partial Discharge in Transformer Based on Fuzzy Neural Networks" @default.
- W2393987870 hasPublicationYear "2010" @default.
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