Treffer: Novel noise reduction method based on improved empirical wavelet transform and kurtosis for partial discharge signal of high‐voltage cables

Title:
Novel noise reduction method based on improved empirical wavelet transform and kurtosis for partial discharge signal of high‐voltage cables
Authors:
Dengkui Zhang, Ying Zhang, Xinghe Ma
Source:
The Journal of Engineering (2020)
Publisher Information:
Institution of Engineering and Technology (IET), 2020.
Publication Year:
2020
Subject Terms:
improved empirical wavelet, signal denoising, kurtosis criterion, random white noise, periodic narrowband interference, interference suppression, residual noise information, reconstructed signal, partial discharge detection, reconstructed inherent modal function, Engineering (General). Civil engineering (General), 01 natural sciences, empirical wavelet function signals, complex noise signals, wavelet transforms, novel noise reduction method, improved threshold function, partial discharge signal, 0103 physical sciences, TA1-2040, high-voltage cables, white noise, partial discharges, pd signals
Document Type:
Fachzeitschrift Article
Language:
English
ISSN:
2051-3305
DOI:
10.1049/joe.2020.0140
Access URL:
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2020.0140
https://doaj.org/article/bab5b2836ada4533adf325ad1aefcc46
https://digital-library.theiet.org/content/journals/10.1049/joe.2020.0140
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2020.0140
Rights:
CC BY NC ND
Accession Number:
edsair.doi.dedup.....a30ac56e626821e54c4fab3eb0e4a4a6
Database:
OpenAIRE

Weitere Informationen

Partial discharge (PD) detection is useful to the online monitoring of high‐voltage cables, which are affected by periodic narrowband interference and random white noise. To suppress the influence of complex noise signals on the measurement of PD signals, a novel noise reduction method based on improved empirical wavelet transform (IEWT) and kurtosis for the PD signals of high‐voltage cables is proposed. First, empirical wavelet function (EWF) signals arranged in order of frequency are obtained by decomposing the signal with IEWT. Then, the kurtosis criterion is introduced, and the reconstructed inherent modal function is adaptively screened. Finally, the improved threshold function is used in eliminating residual noise information in the reconstructed signal. Compared with the noise reduction methods based on EWT and EMD, the proposed noise reduction method can effectively suppress noise information in PD and has good practicability.