The New Methodology of Diagnosis for Transformer Inter-Turn Short Circuit Based on Wavelet Analysis

Yu Sheng Quan; Ning Chen; Zi Jian Wang; Pu Xin Shi

doi:10.4028/www.scientific.net/AMM.672-674.1155

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 672-674The New Methodology of Diagnosis for Transformer...

The New Methodology of Diagnosis for Transformer Inter-Turn Short Circuit Based on Wavelet Analysis

Abstract:

Based on the large number of experimental data analysis and processing, a new inter-turn short circuit transformer diagnostic methods is proposed. In this paper, take the grounding current of transformer core as the signal source. Using wavelet multi-resolution technology the signal wavelet multiscale decomposition, we can get high frequency components of the signal. Achieve short-circuit fault diagnosis between transformer winding turns by comparing the number of the high-frequency component contained in different signals in the decomposition of the same scale.

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Periodical:

Applied Mechanics and Materials (Volumes 672-674)

Pages:

1155-1158

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.672-674.1155

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Online since:

October 2014

Authors:

Yu Sheng Quan*, Ning Chen, Zi Jian Wang, Pu Xin Shi

Keywords:

High-Frequency Component, Inter-Turn Short Circuit, Multi-Scale Decomposition, Transformer, Wavelet Analysis, Winding

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* - Corresponding Author

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