摘要
提出了一种气体绝缘开关设备(GIS)的超高频(UHF)局放信号的时域特征提取方法,利用希尔伯特变换求取调制在高频信号中的低频信号(信号包络),进而求得其时域关键点对应的特征量。搭建了GIS绝缘的人工缺陷实验平台,获得了3种典型绝缘缺陷的局部放电实验数据。结合实验数据,对提出的算法进行了验证分析。
With the help of the Hilbert transform,low-frequency signal that is modulated by high-frequency signal can be demodulated.A method to extract time-domain features of ultra-high frequency（UHF） signals emitted by gas insulated switchgears（GIS） partial discharges（PD′s） is presented.Utilizing the Hilbert transform,the envelope of a PD signal,and further the time-domain key points relevant with the features can be acquired.A platform for artificial insulation fault experiments is developed.Experimental data of 3 typical types of PD signals are gained,with which the presented algorithm was analyzed and examined.The result shows that different types of PD are well recognized.It can be concluded that the method presented is practical and effective.
出处
《华东电力》
北大核心
2013年第1期96-99,共4页
East China Electric Power
基金
国家高技术研究发展计划资助(SS2012AA050803)
上海市科委项目资助(10dz1203000)~~
