摘要
在局部放电在线监测中抑制载波通讯干扰研究中,引入竞争学习网络的“自激励,邻抑制”作用,提出了一种基于FFT和ANN的新数字滤波方法。仿真实验和现场数据的分析结果表明:该方法快速有效,能很好地满足局部放电在线监测的需要。
The on center off surround effect of competitionnetwork is introduced for the purpose of eliminating communication interference in partial discharge on-line measurement. A new digital filtering method which is based on FFTand ANN are proposed.Results from both simulation experiments and analysis on site signals show that the proposed method is a quick, and effective one which can satisfythe demand of PD on-line measurement.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
1999年第2期37-39,共3页
High Voltage Engineering
关键词
局部放电
在线监测
阈值曲线法
PD
partial discharge fast Fouler transformartificial neural network