Medium voltage cable partial discharge signals denoising by second generation wavelet packet transform

Ming Tang; Hongjie Li; Xiang Liu; Deliang Liang

doi:10.1109/ICInfA.2013.6720459

Medium voltage cable partial discharge signals denoising by second generation wavelet packet transform

Ming Tang
, Hongjie Li
, Xiang Liu
, Deliang Liang

School of Electrical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

On-line partial discharge (PD) measurements taken from distribution cable network are corrupted by noise due to electromagnetic interference. This paper presents application of Second Generation Wavelet Packet Transform (SGWPT), as an improved algorithm of Second Generation Wavelet Transform (SGWT), to extraction of PD pulse from background noise. Firstly, the SGWPT is constructed on the basis of SGWT. Secondly, comparative study of the Shannon entropy and threshold entropy criterion to select the best tree is conducted, and the investigation results show that threshold entropy criterion yields better signal-to-noise ratio (SNR). Finally, the algorithm is applied to PD signals corrupted by white noise. Results confirm that SGWPT can improve the effectiveness of PD de-noising.

Original language	English
Title of host publication	2013 IEEE International Conference on Information and Automation, ICIA 2013
Pages	1097-1102
Number of pages	6
DOIs	https://doi.org/10.1109/ICInfA.2013.6720459
State	Published - 2013
Event	2013 IEEE International Conference on Information and Automation, ICIA 2013 - Yinchuan, China Duration: 26 Aug 2013 → 28 Aug 2013

Publication series

Name	2013 IEEE International Conference on Information and Automation, ICIA 2013

Conference

Conference	2013 IEEE International Conference on Information and Automation, ICIA 2013
Country/Territory	China
City	Yinchuan
Period	26/08/13 → 28/08/13

Keywords

distribution cable network
entropy criterion
partial discharge
signal-to-noise ratio
wavelet packets

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10.1109/ICInfA.2013.6720459

Cite this

Tang, M., Li, H., Liu, X., & Liang, D. (2013). Medium voltage cable partial discharge signals denoising by second generation wavelet packet transform. In 2013 IEEE International Conference on Information and Automation, ICIA 2013 (pp. 1097-1102). Article 6720459 (2013 IEEE International Conference on Information and Automation, ICIA 2013). https://doi.org/10.1109/ICInfA.2013.6720459

@inproceedings{feb56ec109a245509a457eab2611866c,

title = "Medium voltage cable partial discharge signals denoising by second generation wavelet packet transform",

abstract = "On-line partial discharge (PD) measurements taken from distribution cable network are corrupted by noise due to electromagnetic interference. This paper presents application of Second Generation Wavelet Packet Transform (SGWPT), as an improved algorithm of Second Generation Wavelet Transform (SGWT), to extraction of PD pulse from background noise. Firstly, the SGWPT is constructed on the basis of SGWT. Secondly, comparative study of the Shannon entropy and threshold entropy criterion to select the best tree is conducted, and the investigation results show that threshold entropy criterion yields better signal-to-noise ratio (SNR). Finally, the algorithm is applied to PD signals corrupted by white noise. Results confirm that SGWPT can improve the effectiveness of PD de-noising.",

keywords = "distribution cable network, entropy criterion, partial discharge, signal-to-noise ratio, wavelet packets",

author = "Ming Tang and Hongjie Li and Xiang Liu and Deliang Liang",

year = "2013",

doi = "10.1109/ICInfA.2013.6720459",

language = "英语",

isbn = "9781479913343",

series = "2013 IEEE International Conference on Information and Automation, ICIA 2013",

pages = "1097--1102",

booktitle = "2013 IEEE International Conference on Information and Automation, ICIA 2013",

note = "2013 IEEE International Conference on Information and Automation, ICIA 2013 ; Conference date: 26-08-2013 Through 28-08-2013",

}

Tang, M, Li, H, Liu, X & Liang, D 2013, Medium voltage cable partial discharge signals denoising by second generation wavelet packet transform. in 2013 IEEE International Conference on Information and Automation, ICIA 2013., 6720459, 2013 IEEE International Conference on Information and Automation, ICIA 2013, pp. 1097-1102, 2013 IEEE International Conference on Information and Automation, ICIA 2013, Yinchuan, China, 26/08/13. https://doi.org/10.1109/ICInfA.2013.6720459

Medium voltage cable partial discharge signals denoising by second generation wavelet packet transform. / Tang, Ming; Li, Hongjie; Liu, Xiang et al.
2013 IEEE International Conference on Information and Automation, ICIA 2013. 2013. p. 1097-1102 6720459 (2013 IEEE International Conference on Information and Automation, ICIA 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Medium voltage cable partial discharge signals denoising by second generation wavelet packet transform

AU - Tang, Ming

AU - Li, Hongjie

AU - Liu, Xiang

AU - Liang, Deliang

PY - 2013

Y1 - 2013

N2 - On-line partial discharge (PD) measurements taken from distribution cable network are corrupted by noise due to electromagnetic interference. This paper presents application of Second Generation Wavelet Packet Transform (SGWPT), as an improved algorithm of Second Generation Wavelet Transform (SGWT), to extraction of PD pulse from background noise. Firstly, the SGWPT is constructed on the basis of SGWT. Secondly, comparative study of the Shannon entropy and threshold entropy criterion to select the best tree is conducted, and the investigation results show that threshold entropy criterion yields better signal-to-noise ratio (SNR). Finally, the algorithm is applied to PD signals corrupted by white noise. Results confirm that SGWPT can improve the effectiveness of PD de-noising.

AB - On-line partial discharge (PD) measurements taken from distribution cable network are corrupted by noise due to electromagnetic interference. This paper presents application of Second Generation Wavelet Packet Transform (SGWPT), as an improved algorithm of Second Generation Wavelet Transform (SGWT), to extraction of PD pulse from background noise. Firstly, the SGWPT is constructed on the basis of SGWT. Secondly, comparative study of the Shannon entropy and threshold entropy criterion to select the best tree is conducted, and the investigation results show that threshold entropy criterion yields better signal-to-noise ratio (SNR). Finally, the algorithm is applied to PD signals corrupted by white noise. Results confirm that SGWPT can improve the effectiveness of PD de-noising.

KW - distribution cable network

KW - entropy criterion

KW - partial discharge

KW - signal-to-noise ratio

KW - wavelet packets

UR - https://www.scopus.com/pages/publications/84894217366

U2 - 10.1109/ICInfA.2013.6720459

DO - 10.1109/ICInfA.2013.6720459

M3 - 会议稿件

AN - SCOPUS:84894217366

SN - 9781479913343

T3 - 2013 IEEE International Conference on Information and Automation, ICIA 2013

SP - 1097

EP - 1102

BT - 2013 IEEE International Conference on Information and Automation, ICIA 2013

T2 - 2013 IEEE International Conference on Information and Automation, ICIA 2013

Y2 - 26 August 2013 through 28 August 2013

ER -

Medium voltage cable partial discharge signals denoising by second generation wavelet packet transform

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