当前位置: X-MOL 学术IEEJ Trans. Electr. Electron. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Research on Fault Vibration Signal Features of GIS Disconnector Based on EEMD and Kurtosis Criterion
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1 ) Pub Date : 2021-04-11 , DOI: 10.1002/tee.23347
Lihua Zhao 1 , Guo Hong 1 , Zelong Wang 1 , Weiwei Chen 1 , Wei Long 2 , Junwen Ren 1 , Zhong Wang 1 , Xiaolong Huang 1
Affiliation  

Gas insulated metal enclosed switchgear (GIS) has been widely used in the world because of its compact structure and adaption to the environment. However, due to frequent operation and other reasons, GIS disconnector is prone to mechanical failure with poor contact, leading to abnormal vibration signals. In this paper, a GIS disconnector contact fault simulation platform is built to collect vibration signals in three states: normal contact, moderate poor contact and severe poor contact of disconnector contact. The Ensemble Empirical Mode Decomposition (EEMD) method is used to decompose the vibration signals, and the IMF decomposition signals are screened by Kurtosis criterion (a numerical statistic method). Finally, the vibration signal features of GIS under different conditions are obtained by reconstructing the screening signals. The results indicate that, under the normal contact, the frequency of GIS vibration signal mainly presents the distribution of 100 Hz and its integer multiple frequency component, when there is a contact defect, the high frequency component in the vibration signal spectrum increases significantly, and the tripling frequency component is present, and the amplitude of component will increase with the severity of the fault. Therefore, this study provides a theoretical reference for on‐line monitoring of GIS disconnecting switch contact fault. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译:

基于EEMD和峰度准则的GIS隔离开关故障振动信号特征研究。

气体绝缘金属封闭开关设备(GIS)由于其紧凑的结构和对环境的适应性而在世界范围内得到了广泛的应用。但是,由于操作频繁和其他原因,GIS隔离开关容易发生机械故障,接触不良,从而导致异常的振动信号。本文构建了一个GIS隔离开关接触故障仿真平台,用于收集三种状态的振动信号:正常接触,中度接触不良和严重接触不良接触。使用集成经验模态分解(EEMD)方法对振动信号进行分解,并根据峰度准则(一种数值统计方法)筛选IMF分解信号。最后,通过重构筛选信号,获得了不同条件下GIS的振动信号特征。结果表明,在正常接触下,GIS振动信号的频率主要表现为100 Hz的分布及其整数倍频率分量,当存在接触缺陷时,振动信号频谱中的高频分量明显增加,并且存在三倍的频率分量,并且分量的幅度将随着故障的严重性而增加。因此,本研究为GIS隔离开关接触故障的在线监测提供了理论参考。©2021日本电气工程师学会。由Wiley Periodicals LLC发布。振动信号频谱中的高频分量显着增加,并且存在三倍的频率分量,并且分量的幅度将随着故障的严重性而增加。因此,本研究为GIS隔离开关接触故障的在线监测提供了理论参考。©2021日本电气工程师学会。由Wiley Periodicals LLC发布。振动信号频谱中的高频分量显着增加,并且存在三倍的频率分量,并且分量的幅度将随着故障的严重性而增加。因此,本研究为GIS隔离开关接触故障的在线监测提供了理论参考。©2021日本电气工程师学会。由Wiley Periodicals LLC发布。
更新日期:2021-04-22
down
wechat
bug