Analysis on Vibration Mechanisms and Detection Diagnosis Technology of GIS in Operating Condition

DING Dengwei; HE Liang; LONG Wei; CHENG Jiangrong; ZHANG Ziwei; YUAN Minghu; ZHOU Yu; ZHANG Chen

doi:10.13296/j.1001-1609.hva.2019.11.013

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Analysis on Vibration Mechanisms and Detection Diagnosis Technology of GIS in Operating Condition

更新时间：2025-04-26

- Analysis on Vibration Mechanisms and Detection Diagnosis Technology of GIS in Operating Condition
- High VoltageApparatus Vol. 55, Issue 11, Pages: 93-99(2019)
- 作者机构：
  
  1. 清华四川能源互联网研究院
  2. 国网四川省电力公司南充供电公司
  3. 清华大学电机工程与应用电子技术系电力系统及发电设备控制和仿真国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2019.11.013
  CLC： TM595
- Published：2019
- 稿件说明：
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[1]丁登伟,何良,龙伟,程江荣,张紫薇,袁明虎,周瑜,张晨.GIS设备运行状态下振动机理及检测诊断技术研究[J].高压电器,2019,55(11):93-99.

DING Dengwei, HE Liang, LONG Wei, et al. Analysis on Vibration Mechanisms and Detection Diagnosis Technology of GIS in Operating Condition[J]. High voltageapparatus, 2019, 55(11): 93-99.
[1]丁登伟,何良,龙伟,程江荣,张紫薇,袁明虎,周瑜,张晨.GIS设备运行状态下振动机理及检测诊断技术研究[J].高压电器,2019,55(11):93-99. DOI： 10.13296/j.1001-1609.hva.2019.11.013.

DING Dengwei, HE Liang, LONG Wei, et al. Analysis on Vibration Mechanisms and Detection Diagnosis Technology of GIS in Operating Condition[J]. High voltageapparatus, 2019, 55(11): 93-99. DOI： 10.13296/j.1001-1609.hva.2019.11.013.

摘要

气体绝缘金属封闭开关设备（gas insulated switchgear

GIS）运行中时常出现异常机械振动

振动信号检测对GIS运行状态评价与故障诊断具有重要意义。基于电磁感应原理分析了三相分箱型和三相共箱型GIS设备外壳环流特性

从电磁力和磁致伸缩两个方面深入研究了GIS振动机理

基于小波时频变换提取了振动信号频谱分布特征和振动声学指纹

用于振动信号识别与诊断。现场振动检测结果表明

GIS正常振动信号频率主要集中在100 Hz

与理论分析一致

异常振动信号除100 Hz分量外

还包含大量高次谐波分量

振动声学指纹发生明显变化。通过分析振动信号频谱及声学指纹

可以有效发现由内部缺陷引起的异常机械振动

该种方法具有较好的应用前景。

Abstract

Mechanical faults of Gas Insulated Switchgear（GIS）often occur

so it is of great significance to detect vibration signal for condition monitoring and fault diagnosis of GIS. This research analyzed the characteristics of the circulating current in the enclosures of a three-phase-in-one box type GIS and a three-phase-in-separate box type GIS based on the electromagnetic induction law

and revealed the vibration mechanism of GIS from two aspects of electromagnetic force and magnetostriction. The natural frequency of GIS was also studied. The spectral distribution features of the GIS vibration signal were analyzed by means of the wavelet transformation

and the vibration fingerprint was extracted for detection and diagnosis of mechanical vibration. Moreover

the mechanical vibration characteristic of a GIS in service were detected and analyzed based on a developed diagnosis system. Test results show that the vibration frequency of the GIS is about 100 Hz under normal condition

which is consistent with the theoretical analysis. However

the abnormal vibration signal contains many higher-order harmonic components besides the 100 Hz component

which leads to a great difference between the frequency spectra and vibration fingerprint.Thus

by comparing frequency spectra and vibration fingerprint

the mechanical faults of GIS can be found effectively.

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