| 摘要: |
| 提出一种基于改进的整体平均经验模态分解（EEMD）方法的数字滤波器。针对经验模态分解（EMD）滤波方法的不足，采用对含噪信号先用中值滤波法平滑处理，再对处理后的信号EEMD的方法。改进后的方法结合了平滑处理滤除脉冲噪声以及EEMD方法滤除随机噪声和高频连续噪声的优点，且不存在模态混叠。通过数字仿真，研究了其滤波性能并与小波滤波方法进行了比较，仿真结果表明：该方法可以有效抑制电力系统采样信号中的各种噪声，具有比小波滤波方法更好的滤波特性。 |
| 关键词: 改进EEMD 自适应滤波 电力系统 去噪 |
| DOI： |
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| Digital filter based on improved EEMD method |
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JIAO Yanjun, HU Chun
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School of Electrical and Electronic Engineering，North China Electric Power University，Baoding 071003，China
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| Abstract: |
| A kind of digital filter based on improved EEMD（Ensemble Empirical Mode Decomposition） method is proposed，which，aiming at the defects of EMD（Empirical Mode Decomposition） method，smoothes the noise-contained signal with the median filtering method to filter the impulse noise and then processes it with EEMD to filter the random noise and high-frequency continuous noise，without any mode mixing. Digital simulation is carried out to study its filtering effect and the simulative results show that，compared with the wavelet filtering method，it suppresses various noises of power system signal more effectively and has better filtering effect. |
| Key words: improved EEMD adaptive filtering electric power systems denoising |
