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Study on PD detection for GIS based on autocorrelation coefficient and similar Wavelet soft threshold

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成果类型:
期刊论文
作者:
Fan, Shaosheng*;Wang, Xuhong;Zhang, Yihuan
通讯作者:
Fan, Shaosheng
作者机构:
[Wang, Xuhong; Fan, Shaosheng] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410114, Hunan, Peoples R China.
[Zhang, Yihuan] State Grid Zhuzhou Power Supply Co, Zhuzhou 412000, Hunan, Peoples R China.
通讯机构:
[Fan, Shaosheng] C
Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Partial discharge;Ultra high frequency;External sensor;Empirical mode decomposition;Autocorrelation coefficient;Similar Wavelet soft threshold
期刊:
Cluster Computing
ISSN:
1386-7857
年:
2019
卷:
22
期:
3
页码:
6755-6766
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61473049]; Hunan province science and technology Project [2015GK3018]
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
摘要:
To address the issue of white noise at partial discharge (PD) ultra high frequency (UHF) signal in gas insulated substation (GIS), this paper develops an external sensor and proposes new empirical mode decomposition (EMD) denoising method based on autocorrelation coefficient and similar wavelet soft threshold. Four types of typical GIS defects at the PD UHF signal were obtained through experiment. The autocorrelation coefficient of intrinsic mode functions (IMF) components at the PD UHF signal was computed, the cut-off point between the noise s...

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