Identification of Transformer Sympathetic Inrush Based on W-DHNN

Lan Bing Li; Mao Fa Gong; Lei Li; Jian Yu Zhang; Hui Ting Ge

doi:10.4028/www.scientific.net/AMM.441.200

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 441Identification of Transformer Sympathetic Inrush...

Identification of Transformer Sympathetic Inrush Based on W-DHNN

Abstract:

A new method to identify sympathetic inrush and internal fault current of transformer based on W-DHNN is put forward. Wavelet analysis can detect the abrupt change of the current signal. And extract the feature vectors of the signal. The characteristic values as the input value of discrete Hopfield neural network. Then using discrete Hopfield neural network to discriminate sympathetic inrush and internal fault current. This paper uses PSCAD/EMTDC software to model and emulates different parameters of transformer and fault types. The results show that the method is feasible.

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Periodical:

Applied Mechanics and Materials (Volume 441)

Pages:

200-203

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.441.200

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Online since:

December 2013

Authors:

Lan Bing Li*, Mao Fa Gong, Lei Li, Jian Yu Zhang, Hui Ting Ge

Keywords:

DHNN, Internal Fault Current, PSCAD, Sympathetic Inrush, Transformer

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* - Corresponding Author

References

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