Research on leakage current sampling and denoising method of contamination glass insulators
A de-noising method based on the combination of wavelet and Ensemble Empirical Mode Decomposition (WEEMD) theory is proposed for de-noising of leakage current signal. Results show that the proposed method is effective to extract leakage current signals. The noise in the leakage current get by a non-...
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Published in | 2018 12th International Conference on the Properties and Applications of Dielectric Materials (ICPADM) pp. 892 - 895 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2018
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Subjects | |
Online Access | Get full text |
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Summary: | A de-noising method based on the combination of wavelet and Ensemble Empirical Mode Decomposition (WEEMD) theory is proposed for de-noising of leakage current signal. Results show that the proposed method is effective to extract leakage current signals. The noise in the leakage current get by a non-inductance resistance with 1 ohm is very large, and the noise signal almost drowns the leakage current signal. After de-noising, the denoising effect of the leakage current signal is not ideal, and the characteristics of the leakage current itself are lost. Because of the higher signal-to-noise ratio (SNR) of the leakage current which measured by 5 ohm and 50 ohm non-inductance resistance, the de-noised effect is much better. Therefore, the hardware measures are taken to reduce the noise contained in the leakage current signal, and then the clean leakage current signal can be obtained by de-noising method proposed in this paper. |
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ISSN: | 2160-9241 |
DOI: | 10.1109/ICPADM.2018.8401172 |