<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The cable partial discharge vibration signal is often polluted by noise. It is necessary to denoise the signal, improve the signal-to-noise ratio, and then realize the feature extraction of the vibration signal. Therefore, this paper builds a cable partial discharge test platform, collects the time-domain waveform of vibration signals under different working conditions, analyzes the noise reduction effect of ensemble empirical mode decomposition clearing repetition interval threshold noise reduction method under different threshold functions, and analyzes the difference and approximation degree between the simulated signal and the real signal after noise reduction by using signal-to-noise ratio and correlation, By comparing the difference of statistical characteristics in different defects before and after noise reduction, the wavelet threshold denoising method is established synchronously and compared with the proposed method. The results show that the high-frequency part of the vibration signal has obvious random noise components, and the effective frequency is mainly concentrated in the low-frequency band; The smoothing shear absolute deviation penalty threshold function has the smoothest curve after noise reduction and the highest approximation to the real signal. The high-frequency noise component is eliminated, and the low-frequency band frequency component is effectively retained. The method proposed in this paper can be extended to the noise reduction of vibration signals of other industrial equipment and provide technical support for the signal noise reduction of various industrial equipment.</p>
</abstract>

The cable partial discharge vibration signal is often polluted by noise. It is necessary to denoise the signal, improve the signal-to-noise ratio, and then realize the feature extraction of the vibration signal. Therefore, this paper builds a cable partial discharge test platform, collects the time-domain waveform of vibration signals under different working conditions, analyzes the noise reduction effect of ensemble empirical mode decomposition clearing repetition interval threshold noise reduction method under different threshold functions, and analyzes the difference and approximation degree between the simulated signal and the real signal after noise reduction by using signal-to-noise ratio and correlation, By comparing the difference of statistical characteristics in different defects before and after noise reduction, the wavelet threshold denoising method is established synchronously and compared with the proposed method. The results show that the high-frequency part of the vibration signal has obvious random noise components, and the effective frequency is mainly concentrated in the low-frequency band; The smoothing shear absolute deviation penalty threshold function has the smoothest curve after noise reduction and the highest approximation to the real signal. The high-frequency noise component is eliminated, and the low-frequency band frequency component is effectively retained. The method proposed in this paper can be extended to the noise reduction of vibration signals of other industrial equipment and provide technical support for the signal noise reduction of various industrial equipment.

Noise Reduction of Cable Partial Discharge Vibration Signal based on EEMD-CIIT method

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The cable partial discharge vibration signal is often polluted by noise. It is necessary to denoise the signal, improve the signal-to-noise ratio, and then...

Noise Reduction of Cable Partial Discharge Vibration Signal based on EEMD-CIIT method

Publicado en línea: 26 ago 2023

Páginas: -

Recibido: 27 oct 2022

Aceptado: 06 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00238

Palabras clave
Cable, Partial discharge, Ensemble empirical mode decomposition, Vibration signal, Noise reduction

© 2023 Xiao Tan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Noise Reduction of Cable Partial Discharge Vibration Signal based on EEMD-CIIT method

Publicado en línea: 26 ago 2023

Páginas: -

Recibido: 27 oct 2022

Aceptado: 06 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00238

Palabras claveCable, Partial discharge, Ensemble empirical mode decomposition, Vibration signal, Noise reduction

© 2023 Xiao Tan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Cable, Partial discharge, Ensemble empirical mode decomposition, Vibration signal, Noise reduction