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Transformer Diagnosis based on Wavelet Transform and Transfer Function |
Chen Zilong1, Ji Zhuoting2, Zheng Zhong2, Dong Pengxin2 |
1. Department of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049; 2. Department of Electrical Engineering, Chongqing University, Chongqing 400044 |
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Abstract The safe operation of power transformers plays an important role in the safety of electrical power system. How to effectively diagnose the transformer fault is an important problem to ensure the safe operation of the transformer. In this paper, the increase of stray capacitance and fault resistance leads to the increase of transformer operation noise, as a result, The energy spectrum signal of the sweep signal of the transformer is analyzed by wavelet transform to explore the relationship between the fault severity, fault location and the energy of the high frequency signal. The study shows that the severity of the transformer fault is positively related to the energy of the high frequency component of the sweep signal, but there is no obvious correlation between the fault location of the transformer and the energy of the high frequency component.
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Published: 22 January 2018
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Cite this article: |
Chen Zilong,Ji Zhuoting,Zheng Zhong等. Transformer Diagnosis based on Wavelet Transform and Transfer Function[J]. Electrical Engineering, 2017, 18(12): 30-37.
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URL: |
http://dqjs.cesmedia.cn/EN/Y2017/V18/I12/30
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