Application of Complete Ensemble Empirical Mode Decomposition in MOA Monitoring

HE Guixian; XING Hongyan; XU Wei; JI Xinyuan

doi:10.13296/j.1001-1609.hva.2018.12.034

您当前的位置：

首页 >

文章列表页 >

Application of Complete Ensemble Empirical Mode Decomposition in MOA Monitoring

更新时间：2025-04-26

- Application of Complete Ensemble Empirical Mode Decomposition in MOA Monitoring
- High VoltageApparatus Vol. 54, Issue 12, Pages: 225-231(2018)
- 作者机构：
  
  1. 南京信息工程大学气象灾害预报预警与评估协同创新中心
  2. 南京信息工程大学中国气象局气溶胶与云降水重点开发实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2018.12.034
  CLC： TM862
- Published：2018
- 稿件说明：
移动端阅览
[1]何贵先,行鸿彦,徐伟,季鑫源.互补集成经验模态分解在MOA监测中的应用[J].高压电器,2018,54(12):225-231.

HE Guixian, XING Hongyan, XU Wei, et al. Application of Complete Ensemble Empirical Mode Decomposition in MOA Monitoring[J]. High voltageapparatus, 2018, 54(12): 225-231.
[1]何贵先,行鸿彦,徐伟,季鑫源.互补集成经验模态分解在MOA监测中的应用[J].高压电器,2018,54(12):225-231. DOI： 10.13296/j.1001-1609.hva.2018.12.034.

HE Guixian, XING Hongyan, XU Wei, et al. Application of Complete Ensemble Empirical Mode Decomposition in MOA Monitoring[J]. High voltageapparatus, 2018, 54(12): 225-231. DOI： 10.13296/j.1001-1609.hva.2018.12.034.

摘要

针对金属氧化物避雷器在线监测中提取持续电流信号含噪声的问题

提出了基于互补集成经验模态分解（CEEMDAN）的避雷器持续电流去噪方法。将含噪电流信号分解成一系列固有模态函数（IMF）

对分解后的IMF进行自相关分析

选出有用信号和含噪分量

对含噪的IMF进行SG （savitzky-golay）滤波去噪

将滤波后的模态分量与剩余的分量进行重构得到消噪后的持续电流信号。MATLAB仿真结果表明:正常情况和老化情况下的MOA去噪后的持续电流均方根误差（正常:3.209 8×10-5

老化:0.002 5）比去噪前的（正常:2.450 9×10-4

老化:0.017 3）均降低了一个数量级

说明该方法有效消除了噪声对避雷器持续电流信号提取的影响

保证了MOA进一步监测分析的准确性。

Abstract

According to the detection of continuous current of metal oxide arrester（MOA）comprises lots of noises

a de-noise method is proposed based on Complete Ensemble Empirical Mode Decomposition（CEEMDAN）.The detection signals with noise of MOA can be decomposed into a series of intrinsic mode functions（IMFs）

and then the IMFs are analyzed by auto correlation.In order to get useful components and noise components

the Savitzky-Golay filter is used to de-noise.After filtering

the remaining components are restricted into a new signal.A typical surge arrester has been simulated in MATLAB

and the result shows that by de-noising of the continuous current of MOA

the root mean square error can be reduced by one order of magnitude（normal 3.209 8×10-5

aging 0.002 5）

while the model before de-noising（normal 2.450 9×10-4

aging 0.017 3）

and the effectiveness of the proposed method is verified

the accuracy of MOA monitoring results are improved.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study on Applicability of Simulation Model of Metal Oxide Arrester Under Different Impulse Current Waves

New 500 kV Metal Oxide Surge Arresters Potential Distribution

On-line Aging Monitoring of Metal Oxide Arrester Using Particle Swarm Optimization

Research on Online Monitoring of MOA Based on RFID Sensor Label and MEC Algorithms

Related Author

CHEN Jie

GUO Jie

ZHAO Yingying

TIAN Yue

JIANG Anfeng

LU Bingbing

JIAO Ting

CHEN Zhe

Related Institution

State Grid Shanghai Electric Power Company Electric Power Research Institute

East China Electric Power Test Research Institute Co., Ltd.

College of Electrical Engineering, Xi’an Jiaotong University

School of Electrical Engineering,Xi′an Jiaotong University,Xi′an

State Grid Electric Power Research Institute

⁰