Improved BP Neural Network in Diagnosis of Nonlinear Fault

Bin Xu; Xiao Ju Shen; Wei Ning Xue

doi:10.4028/www.scientific.net/AMM.401-403.1055

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Improved BP Neural Network in Diagnosis of...

Improved BP Neural Network in Diagnosis of Nonlinear Fault

Abstract:

According to the nonlinear characteristics of transformer fault symptoms and fault types, the application of BP neural network to the problem of transformer fault diagnosis is presented. With a characteristic of the gas content ratio as the input, fault diagnosis model is established by using MATLAB software to achieve improved Newton method. And the simulation experiments show the effectiveness of the model of fault diagnosis.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1055-1058

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1055

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Online since:

September 2013

Authors:

Bin Xu, Xiao Ju Shen, Wei Ning Xue

Keywords:

Fault Diagnosis, Neural Network (NN), Transformer

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References

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