An ensemble empirical mode decomposition method based on finite element analysis for optimization

Abstract In direct current, there are not only DC signals but also ripple, distortion, and noise signals. In addition to avoiding various errors from the hardware, it is also necessary to compensate for errors in data processing. The algorithm is used to process the data collected by the signal acquisition module of the device to remove the interference in the original signal and reduce the signal error.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3019/1/012036
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
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article

An ensemble empirical mode decomposition method based on finite element analysis for optimization

Jing Yuan, Ying Wu, Qinghui Yang, Ling Yu et al.
Journal of Physics Conference Series
Engineering Applied Research
article

An ensemble empirical mode decomposition method based on finite element analysis for optimization

Jing Yuan, Ying Wu, Qinghui Yang, Ling Yu, Renjie Hu, An Lu
article en

Abstract

Abstract In direct current, there are not only DC signals but also ripple, distortion, and noise signals. In addition to avoiding various errors from the hardware, it is also necessary to compensate for errors in data processing. The algorithm is used to process the data collected by the signal acquisition module of the device to remove the interference in the original signal and reduce the signal error.

Journal of Physics Conference SeriesVol. 3019(1)
Chongqing Metrology Quality Inspection and Research Institute (CN)
Openalex Percentile: Top 87%
Engineering Applied Research
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