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- W4313413701 abstract "This paper proposes a method of partial discharge (PD) signal denoising. First, the preset parameters of variational mode decomposition (VMD) are optimized based on particle swarm optimization (PSO) algorithm. The optimized VMD is used to decompose the denoised discharge signal into different modal components, and the effective components are screened according to kurtosis. Finally, hard threshold wavelet transform (WT) is used to remove residual noise for each effective component, and the denoised signal is obtained by superposition of each effective component. Discharge pulse 3 and discharge pulse 4 only have fuzzy waveform profiles. Discharge pulse 1 has slight waveform fluctuations at the maximum discharge amplitude, and discharge pulse 2 is almost completely overwhelmed by the background noise rendering it unrecognizable." @default.
- W4313413701 created "2023-01-06" @default.
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- W4313413701 date "2022-11-18" @default.
- W4313413701 modified "2023-09-27" @default.
- W4313413701 title "Research on Partial Discharge Signal Denoising Based on Improved Variational Mode Decomposition" @default.
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- W4313413701 doi "https://doi.org/10.1109/auteee56487.2022.9994369" @default.
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