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- W2349203486 abstract "In view of the good performance in pattern recognition using Kernel Fisher Discriminant Analysis(KFDA) method,this paper presented a fault diagnosis model of power transformer based on KFDA.The model extracted a feature to distinguish between discharge faults and hot faults first,and then used the KFDA classifier to distinguish in discharge faults or hot faults.To choose parameters of the model,this paper adopted the method of cross validation based on grid search,avoiding the arbitrary and capricious behavior.Practical analysis indicates that this model has advantages of short training time and no part teeny problem.Compared with three rations method of IEC and the improved three rations method,this model has considerable effectiveness of faults identification." @default.
- W2349203486 created "2016-06-24" @default.
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- W2349203486 date "2007-01-01" @default.
- W2349203486 modified "2023-09-26" @default.
- W2349203486 title "Fault Diagnosis Model of DGA for Power Transformer Based on Kernel Fisher Discriminant Analysis Technology" @default.
- W2349203486 hasPublicationYear "2007" @default.
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