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- W2528621994 abstract "In this paper, we propose a method to identify potential faults in power transformers. Firstly, the cloud distribution model of gases under different fault types are established respectively, which are the basis for building the cloud knowledge base. Secondly, the membership grades between test sample and different fault types can be calculated by weighting the gases using entropy weight method. Finally, the effectiveness and the superior data learning ability of this method can be verified by comparing the diagnostic accuracy with three-ratio method introduced by IEEE and the existing cloud method under different amount of samples. The result of this method can provide effective reference for the maintenance planning of transformer." @default.
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- W2528621994 date "2016-08-01" @default.
- W2528621994 modified "2023-09-26" @default.
- W2528621994 title "Fault diagnosis method of transformer based on cloud theory and entropy weight" @default.
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