Research on Partial Discharge De-Noising for Transformer Based on Synchro-Squeezed Continuous Wavelet Transform

被引：2
作者：
Xu Yanchun [1 ]
Xia Haiting [1 ]
Tan Chao [1 ]
Li Zhenhua [1 ]
Mi Lu [2 ]
机构：
[1] China Three Gorges Univ, Hubei Prov Key Lab Operat & Control, Cascaded Hydropower Stn, Yichang, Peoples R China
[2] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
来源：
FLUCTUATION AND NOISE LETTERS | 2020年 / 19卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Partial discharge; de-noising; synchro-squeezing continuous wavelet transform;
D O I：
10.1142/S0219477520500212
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Traditional time-frequency methods for partial discharge (PD) de-noising have some limitations such as low time-frequency resolution, single de-noising type and poor readability. In this paper, a novel de-noising algorithm based on synchro-squeezed continuous wavelet transform (CWT) is adopted to filter out narrowband noise and white noise. The synchro-squeezed CWT algorithm is designed to redistribute the time-frequency domain and to distinguish the signal from the noise carefully as a high-rate time-frequency analysis. High-order statistics is employed to pre-process the polluted PD signal. The generalized cross-validation (GCV) threshold is combined with the adaptive trimmed threshold of synchro-squeezing (SS) domain to deal with the subsequent signals. The proposed algorithm can effectively suppress two kinds of noise, and the signal distortion is lower.
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页数：21
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