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The disturbance signal detection method of power quality based on MEEEMD

机译:基于MEEMD的电能质量扰动信号检测方法

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摘要

To solve the problem adding white noise cannot be completely neutralized and it is not complete of Ensemble Empirical Mode Decomposition(MEEMD), the paper propose that combine improvement of EEMD and Hilbert transform to detect power quality disturbance. First, decompose power quality disturbance signals and get intrinsic mode functions(IMF) components. Second, the IMFs after Hilbert transform to obtain accurate instantaneous characteristic at different times. The simulation results show that the MEEMD method has a clear effect to suppress mode mixing and it also applies to the mixed power quality detection.
机译:为了解决这个问题,添加白噪声不能完全中和,它不完全由集合经验模式分解(Meemd),该论文提出了改善EEMD和HILBERT变换来检测电能质量扰动。首先,分解电能质量干扰信号并获得内在模式功能(IMF)组件。其次,Hilbert转化后的IMF在不同时间获得准确的瞬时特征。仿真结果表明,Memd方法具有明显的抑制模式混合效果,也适用于混合电能检测。

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