Fault Diagnosis of Gas Insulated Switchgear （GIS） Based on Hilbert-Huang Transform （HHT） of On-line Ultrasonic Detection Signals

GUAN Minyuan; LOU Ping; JIN Guoliang; WU Guoqiang; XIA Xinghang; LIU Qiang; YAO Jianfeng; ZHANG Chenyu

doi:10.13296/j.1001-1609.hva.2019.06.003

您当前的位置：

首页 >

文章列表页 >

Fault Diagnosis of Gas Insulated Switchgear （GIS） Based on Hilbert-Huang Transform （HHT） of On-line Ultrasonic Detection Signals

更新时间：2025-04-26

- Fault Diagnosis of Gas Insulated Switchgear （GIS） Based on Hilbert-Huang Transform （HHT） of On-line Ultrasonic Detection Signals
- High VoltageApparatus Vol. 55, Issue 6, Pages: 23-30(2019)
- 作者机构：
  
  1. 国网浙江省电力公司湖州供电公司
  2. 浙江大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2019.06.003
  CLC： TM595
- Published：2019
- 稿件说明：
移动端阅览
[1]管敏渊,楼平,金国亮,吴国强,夏星航,刘强,姚建锋,张晨宇.基于希尔伯特——黄变换的GIS超声波检测异常信号诊断[J].高压电器,2019,55(06):23-30.

GUAN Minyuan, LOU Ping, JIN Guoliang, et al. Fault Diagnosis of Gas Insulated Switchgear （GIS） Based on Hilbert-Huang Transform （HHT） of On-line Ultrasonic Detection Signals[J]. High voltageapparatus, 2019, 55(6): 23-30.
[1]管敏渊,楼平,金国亮,吴国强,夏星航,刘强,姚建锋,张晨宇.基于希尔伯特——黄变换的GIS超声波检测异常信号诊断[J].高压电器,2019,55(06):23-30. DOI： 10.13296/j.1001-1609.hva.2019.06.003.

GUAN Minyuan, LOU Ping, JIN Guoliang, et al. Fault Diagnosis of Gas Insulated Switchgear （GIS） Based on Hilbert-Huang Transform （HHT） of On-line Ultrasonic Detection Signals[J]. High voltageapparatus, 2019, 55(6): 23-30. DOI： 10.13296/j.1001-1609.hva.2019.06.003.

摘要

文中提出了一种气体绝缘组合电器（gas insulated switchgear

GIS）超声波检测异常信号的时频特征计算与诊断方法。首先运用希尔伯特—黄变换（Hilbert-Huang transform

HHT）得到描述超声波信号包络线的时频特征的Hilbert幅值谱。在此基础上

给出了离散条件下Hilbert边际谱与平稳性指数的计算方法

分别表示信号中各频率成分的总强度和平稳性。然后将Hilbert边际谱与平稳性指数结合起来分析

可以直观读取信号的时频特征

进而推断出异常气室的故障原因。3个现场实测案例的研究表明

时频特征分析方法可以有效反映电晕放电、悬浮电位放电和机械振动等3种不同故障对应的超声波信号的时频特征

对提升GIS超声波检测结果的分析诊断水平有着重要的指导意义。

Abstract

A fault diagnosis approach for gas insulated switchgear （GIS） is proposed based on the time-frequency characteristic of on-line ultrasonic detection signal. Firstly

the Hilbert amplitude spectrum of the signal envelopes is obtained by using Hilbert-Huang transform （HHT）. Then

the Hilbert marginal spectrum and the smoothness index are derived

which express the total intensity and smoothness of different frequency components in the ultrasonic signal

respectively. The Hilbert marginal spectrum is combined with the smoothness index to intuitively illustrate the time-frequency characteristics of the ultrasonic signal

hence the abnormal condition in the GIS chamber could be inferred. Three practical cases show that the present approach can identify the time-frequency characteristics of the on-line ultrasonic detection signals relating to corona partial discharge

floating potential partial discharge and mechanical vibration.

关键词

Keywords

references

Views

186

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Integrated Classification Technique for Typical Insulation Flaws in Gas Insulated Switchgear Based on Acoustic Detection

Application of Partial Differential Equation to Suppress White-noise Interference in GIS PD Signals

Study on the Discharge Characteristics on Basin-type Insulator Surface in GIS

Research on Application of Microphone-optimized Spiral Arrays-based Acoustic Imaging Devices in Partial Discharge Localization

Study on Fiber Interferometric Partial Discharge Ultrasonic Sensing Method Based on Acoustic-optic Modulation and RF Phase Detection

Related Author

SI Wen-rong1

HUANG Hua1

FU Chen-zhao1

LI Yan-ming2

LAN Hui-li

GAO Yuan

YE Hong-tao

WEN Jia-yan

Related Institution

East China Electric Power Test & Research Institute Company Limited

State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University

College of Electrical and Information Engineering,Guangxi University of Science and Technology

North China Electric Power University

Electric Power Research Institute of State Grid Tibet Company

⁰