Grounding Grid Fault Diagnosis Based on Empirical Wavelet Transform

DOI

10.2991/icmia-16.2016.117How to use a DOI?

Keywords

fault diagnosis; grounding grid; adaptive signal decomposition; empirical wavelet transform; high frequency model

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liang Ding
AU  - Minfang Peng
AU  - Meie Shen
AU  - Juan Yan
AU  - Xianbing Ding
PY  - 2016/11
DA  - 2016/11
TI  - Grounding Grid Fault Diagnosis Based on Empirical Wavelet Transform
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.117
DO  - 10.2991/icmia-16.2016.117
ID  - Ding2016/11
ER  -