An improved method for signal de-noising based on multi-level local mean decomposition

An improved method for signal de-noising based on multi-level local mean decomposition

The product functions (PFs) extracted by local mean decomposition (LMD) of the noisy signal contain obvious energy-concentrated pulses. As a result, the conventional amplitude threshold filtering used in wavelet transform (WT)-based and empirical mode decomposition (EMD)-based de-noising methods is...

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Bibliographic Details
Main Authors:	Chen, H. (Author), Jiang, Y. (Author), Jiao, W. (Author), Sun, J. (Author), Tang, C. (Author), Wang, C. (Author), Xia, H. (Author), Xu, C. (Author)
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2023
Subjects:	Anomaly detection dual-pulse characteristic Dual-pulse characteristic Dual-pulses empirical mode decomposition Empirical mode decomposition Empirical Mode Decomposition Local mean decompositions multi-level local mean decomposition Multi-level local mean decomposition Multilevels Outlier Detection outlier detection and waveform smoothing Outlier detection and waveform smoothing Pulse characteristics Roller bearings signal de-noising Signal denoising Signal de-noising Statistics the superposition and recombination The superposition and recombination Waveform smoothing Wavelet decomposition
Online Access:	View Fulltext in Publisher

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