摘要
在电力系统中存在着干扰信号,若不及时将主电气量中掺杂的无关信号、干扰信号滤除,将给继电保护动作的装备带来严重影响。选择集合经验模态分解算法、改进的自适应噪声完备集合经验模态分解算法、小波阈值算法来进行故障特征处理,在故障特征中加入不同信噪比的高斯白噪声,对3种降噪方法进行横向对比,从中选出最适合发电机故障特征提取的方法。
There are interference signals in the power system.If the main electrical quantity doped with irrelevant signals and interference signals are not filtered out in time,it will have a serious impact on the equipment that applies these main electrical quantities for relay protection action.It selects the ensemble empirical mode decomposition,the improved complete ensemble empirical mode decomposition,the wavelet threshold algorithm to deal with the fault characteristics.It adds Gaussian white noise with different signal-tonoise ratios to the fault characteristics,then compares the noise reduction capabilities of these three methods horizontally.The most suitable method for extracting generator fault features is selected.
作者
刘颖
LIU Ying(State Grid Loudi Power Supply Company,Loudi,Hunan 417099,China)
出处
《东北电力技术》
2023年第9期40-44,共5页
Northeast Electric Power Technology
关键词
发电机
降噪算法
经验模态分解
小波阈值算法
故障特征
generator
noise reduction algorithm
empirical modal decomposition
wavelet threshold algorithm
fault characteristics
