Grounding Grid Fault Diagnosis Based on Empirical Wavelet Transform

被引：0
|
作者：
Ding Liang [1 ]
Peng Minfang [1 ]
Shen Meie [2 ]
Yan Juan [1 ]
Ding Xianbing [1 ]
机构：
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410000, Hunan, Peoples R China
[2] Beijing Univ Informat Sci & Technol, Coll Comp Sci, Beijing 100101, Peoples R China
来源：
PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON MEASUREMENT, INSTRUMENTATION AND AUTOMATION (ICMIA 2016) | 2016年 / 138卷
基金：
中国国家自然科学基金;
关键词：
fault diagnosis; grounding grid; adaptive signal decomposition; empirical wavelet transform; high frequency model;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A new adaptive signal processing method based on empirical wavelet transform (EWT) is proposed for the fault diagnosis of grounding grid. According to the frequency domain maximum adaptive point is extracted to split Fourier spectrum to separate the different modes. The establishment of a set of wavelet filter bank is used for partitioned spectrum filtering, extracting components supporting compactly Fourier spectrum AM-FM. In this paper, the high frequency model of grounding grid is built by EMTP simulation software. The method of EWT can analyze the high-frequency signal after grounding grid fault accurately, reveal the frequency structure of fault data effectively and distinguish corrosion severity of grounding grid. It provides a new method for fault diagnosis of grounding grid.
引用
收藏
页码：644 / 649
页数：6
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