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- W2374371983 abstract "According to the characteristic of wavelet packet transformation and fuzzy neural network, this paper proposed a new method of discriminating fault line for single-phase ground in distribution system based on the wavelet packet transformation and fuzzy neural network. The wavelet packet fuzzy neural network trained by the post fault zero sequence current is used to discriminate the fault line. This method is suitable for any distribution system, not influenced by load harmonic, transient process and transient resistance of the fault point. This mothod in theory solves the problem of the traditional methods that select fault line incorrectly. The EMTP simulation shows that the proposed method is accurate and reliable, and has great application potential." @default.
- W2374371983 created "2016-06-24" @default.
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- W2374371983 date "2002-01-01" @default.
- W2374371983 modified "2023-09-25" @default.
- W2374371983 title "Discrimination of Fault Line Based on Wavelet Packet and Fuzzy Neural Networks in Distribution Systems" @default.
- W2374371983 hasPublicationYear "2002" @default.
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