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The applied research of the Hilbert-Huang transform and wavelet transform in the fault location of transmission line

机译:Hilbert-Huang变换与小波变换在输电线路故障位置的应用研究

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In the process of the Hilbert-Huang transform, empirical mode decomposition (EMD) may result in the end effect and modal aliasing when processing data, so proposing Ensemble Empirical Mode Decomposition (EEMD) instead of EMD, and assessing the accuracy of the two decomposition processes according to the total energy of the signal before and after the decomposition. Take a comparison between the Hilbert-Huang transform and the wavelet transform, the localization showed that the Hilbert-Huang transform is better than wavelet transform in the fault location of transmission line.
机译:在Hilbert-Huang变换的过程中,经验模式分解(EMD)可能导致在处理数据时的最终效果和模态混叠,因此提出集合经验模式分解(EEMD)而不是EMD,并评估两个分解的准确性根据分解前后信号的总能量的处理。在Hilbert-Huang变换和小波变换之间进行比较,本地化表明,Hilbert-Huang变换比传输线的故障定位中的小波变换更好。

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