摘要
将基于经验模态分解(empirical mode decomposition,EMD)的新型时空滤波方法应用于介损角的测量中。利用EMD对强噪声背景下的采样信号进行分解,根据所得到的固有模态分量的频谱特性进行选择性滤波,提取其基波分量,并结合正弦波参数法计算介损角。探讨了系统频率变化和介损角变化对测量真实值的影响。仿真结果表明该方法可明显减小计算误差,对提高数字化测量δ的精确性具有实际意义。
The authors apply the novel time-space filtering method based on empirical mode decomposition （EMD） to the measurement of dielectric loss angle. By use of EMD the signals sampled in strong noise background of are decomposed and according to the spectrum characteristics of obtained intrinsic mode components the selective filtering is conducted, then the fundamental component in the filtering results is extracted and combining with sine wave parameter method the dielectric loss angle is calculated. The impact of both system frequency variation and dielectric loss angle variation on measured true value is analyzed. Simulation results show that using the proposed method the calculation error can be evidently reduced; therefore the proposed method has practical meaning for improving the measurement accuracy of digitized measurement of dielectric loss angle.
出处
《电网技术》
EI
CSCD
北大核心
2007年第24期77-80,共4页
Power System Technology
关键词
经验模态分解(EMD)
时空滤波
固有模态分量
介损角
正弦波参数法
empirical mode decomposition （EMD）
time-space filtering
intrinsic mode components
dielectric lossangle
sine wave parameter method
