Harmonic detection method based on parameter spectrum

To reduce noise interference of Prony for extracting harmonic parameters, a harmonic analysis method integrating local mean decomposition (ELMD) - singular value decomposition (SVD) - Prony (ELMD-SVD Prony) is proposed. The noise component is removed while the effective component is retained. The Hankel matrix is reconstructed in phase space for the effective component, and singular value decomposition is used for secondary denoising and reconstruction. Finally, the reconstructed signal is superimposed with the ELMD residue to obtain the denoised harmonic signal.

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Publication Details

Published
2025-05-22
DOI
https://doi.org/10.1117/12.3067938
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

Harmonic detection method based on parameter spectrum

Yuxi Li, Linlin Gao, Zhenyu Huang, L. X. Zhang et al.
Advanced Algorithms and Applications
article

Harmonic detection method based on parameter spectrum

Yuxi Li, Linlin Gao, Zhenyu Huang, L. X. Zhang, Xifeng Liu, Xibin Bai, Xiaolong Guo, Yu Li, Jianchao Li, Yun Xie
article en

Abstract

To reduce noise interference of Prony for extracting harmonic parameters, a harmonic analysis method integrating local mean decomposition (ELMD) - singular value decomposition (SVD) - Prony (ELMD-SVD Prony) is proposed. The noise component is removed while the effective component is retained. The Hankel matrix is reconstructed in phase space for the effective component, and singular value decomposition is used for secondary denoising and reconstruction. Finally, the reconstructed signal is superimposed with the ELMD residue to obtain the denoised harmonic signal.

State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 88%
Advanced Algorithms and Applications
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