Noise Removal of Partial Discharge UHF Pulse in GIS with Morphological Filter and Adaptive Noise Canceller

YANG Zhichao; FAN Lixin; YANG Chengshun; ZHANG Chenglong; HUANG Xuancheng

doi:10.13296/j.1001-1609.hva.2014.12.008

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Noise Removal of Partial Discharge UHF Pulse in GIS with Morphological Filter and Adaptive Noise Canceller

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- Noise Removal of Partial Discharge UHF Pulse in GIS with Morphological Filter and Adaptive Noise Canceller
- High VoltageApparatus Vol. 50, Issue 12, Pages: 41-46+54(2014)
- 作者机构：
  
  1. 南京工程学院电力工程学院
  2. 配电网智能技术与装备江苏省协同创新中心
  3. 江苏方天电力技术有限公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2014.12.008
  CLC： TM855
- Published：2014
- 稿件说明：
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[1]杨志超,范立新,杨成顺,张成龙,黄烜城.形态学滤波与自适应噪声抵消在GIS局部放电超高频信号去噪中的应用[J].高压电器,2014,50(12):41-46+54.

YANG Zhichao, FAN Lixin, YANG Chengshun, et al. Noise Removal of Partial Discharge UHF Pulse in GIS with Morphological Filter and Adaptive Noise Canceller[J]. High voltageapparatus, 2014, 50(12): 41-46+54.
[1]杨志超,范立新,杨成顺,张成龙,黄烜城.形态学滤波与自适应噪声抵消在GIS局部放电超高频信号去噪中的应用[J].高压电器,2014,50(12):41-46+54. DOI： 10.13296/j.1001-1609.hva.2014.12.008.

YANG Zhichao, FAN Lixin, YANG Chengshun, et al. Noise Removal of Partial Discharge UHF Pulse in GIS with Morphological Filter and Adaptive Noise Canceller[J]. High voltageapparatus, 2014, 50(12): 41-46+54. DOI： 10.13296/j.1001-1609.hva.2014.12.008.

摘要

抑制局部放电信号中的噪声干扰是GIS局部放电在线监测的关键技术之一。尽管超高频检测方法能够有效避开低频干扰

但来自测量系统的白噪声仍然为局部放电的准确测量带来挑战。针对GIS局部放电监测中的白噪声干扰

以提高局部放电超高频法的测量精度为目标

文中采用形态学滤波和自适应噪声抵消相结合的方法对GIS局部放电超高频信号的去噪问题进行了研究。通过对4种典型绝缘缺陷产生的局部放电超高频信号的去噪实验

结果表明文中所用方法较小波变换方法能更好地去除白噪声且去噪后信号具有较小的幅值误差和畸变率。

Abstract

Interference suppression of the partial discharge（PD） was one of the key technologies in on-line PD monitoring of gas insulated switchgear（GIS）.Although ultra-high-frequency（UHF） is qualified to avoid low-frequency noises

the system white noise from the high voltage transmission line still make it difficult to accurately measure the level of PD.Aiming at suppressing white noise in monitoring PD signal of GIS

and for improving the precision of the UHF detection methods

this paper adopt a de-noising method

which is suitable for de-noising UHF signal detected by the UHF detection system of PD in GIS.The method utilizes morphological filter and adaptive noise canceller.The result of de-noising a UHF signal generated by an artificial insulation defect convinces that the method adopted in this paper is more effective to suppress the white noise mixed in UHF signal than the wavelet-based de-noising method.And

it has a small amplitude error and distortion rate.

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