Method for Mode Mixing Separation in Empirical Mode Decomposition
Olav B. Fosso, Marta Molinas

TL;DR
This paper introduces a new method to address mode mixing in Empirical Mode Decomposition by reversing the conditions that cause it, enabling better separation of closely spaced spectral components.
Contribution
The paper proposes a novel technique based on theoretical insights to effectively separate neighboring spectral components that remain mixed in EMD.
Findings
Effective separation of closely spaced spectral modes demonstrated
Method aligns with theoretical regimes of EMD behavior
Numerical experiments confirm improved mode separation
Abstract
The Empirical Mode Decomposition (EMD) is a signal analysis method that separates multi-component signals into single oscillatory modes called intrinsic mode functions (IMFs), each of which can generally be associated to a physical meaning of the process from which the signal is obtained. When the phenomena of mode mixing occur, as a result of the EMD sifting process, the IMFs can lose their physical meaning hindering the interpretation of the results of the analysis. In the paper, "One or Two frequencies? The Empirical Mode Decomposition Answers", Gabriel Rilling and Patrick Flandrin [3] presented a rigorous mathematical analysis that explains how EMD behaves in the case of a composite two-tones signal and the amplitude and frequency ratios by which EMD will perform a good separation of tones. However, the authors did not propose a solution for separating the neighboring tones that…
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Taxonomy
TopicsMachine Fault Diagnosis Techniques · Structural Health Monitoring Techniques · Fault Detection and Control Systems
