噪声与振动控制2024，Vol.44Issue(2)：149-155,7.DOI:10.3969/j.issn.1006-1355.2024.02.024
基于图谱功率谱熵和最大均值差异的GIS机械状态辨识方法
Mechanical State Identification Method of GIS Based on Spectral Power Spectral Entropy and Maximum Mean Difference
杨勇 1张帅 2金涌涛 3赵琳 3张阳 4王枭4
作者信息
- 1. 国网浙江省电力有限公司 电力科学研究院,杭州 310014||杭州意能电力技术有限公司,杭州 310000
- 2. 杭州意能电力技术有限公司,杭州 310000
- 3. 国网浙江省电力有限公司 电力科学研究院,杭州 310014
- 4. 上海睿深电子科技有限公司,上海 201108
- 折叠
摘要
Abstract
Aiming at the problems of poor feature recognition stability and low recognition rate of mechanical defects in gas insulated switchgear by conventional methods,based on graph spectrum theory,a new mechanical state identification of GIS based on spectrum power spectrum entropy and maximum mean discrepancy is proposed.Firstly,the collected GIS vibration signal are converted into graph signal,and then converted into graph domain by graphic Fourier transform technology for analysis and processing;Then the graph power spectrum entropy is extracted as a characteristic parameter to characterize different states of GIS;Finally,the MMD distance discriminant function is used to realize the status identification of GIS under different working conditions.The experimental results show that the proposed method can effectively extract the characteristic parameters of GIS in different states under the condition of noise interference,and successfully distinguish the loose shield from the internal foreign body defects.The accuracy rate of state recognition is as high as 93.89%,which is significantly higher than that of the conventional method.关键词
故障诊断/气体绝缘金属封闭开关设备/状态辨识/图谱功率谱熵/最大均值差异Key words
fault diagnosis/gas insulated switchgear,state identification,spectral power spectral entropy,maximum mean difference分类
信息技术与安全科学引用本文复制引用
杨勇,张帅,金涌涛,赵琳,张阳,王枭..基于图谱功率谱熵和最大均值差异的GIS机械状态辨识方法[J].噪声与振动控制,2024,44(2):149-155,7.
