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In order to improve the correct rate of transformer fault diagnosis based on three-ratio method of traditional dissolved gas analysis (DGA), a novel intelligent transformer fault diagnosis method based on both DGA and probabilistic neural network (PNN) was proposed. In this fault diagnosis method, it takes three characteristic values of the improved three-ratio method as its inputs and five transformer...
This paper introduced the practical value of artificial neural network in fault diagnosis field, respectively, applied the BP network, ELMAN network, RBF neural networks insulating oil fault diagnosis. Simulation results show that, in the transformer fault diagnosis ,the results of using RBF neural network diagnostic were significantly better than the results of traditional BP network and the results...
A new fault detection and identification (FDI) scheme for transformer faults are suggested in this paper. The new method is based on fuzzy discrete event, from now FDES, composed from between a transformer's measured outputs and its faults. In the FDES, events and state membership functions take values between zero and one. All events occur at the same time with different membership degrees. The main...
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