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Communication Dans Un Congrès Année : 2019

Variational Mode Decomposition-based Notch Filter for Bearing Fault Detection

Zhibin Zhou
ESE
Gilles Feld
  • Fonction : Auteur

Résumé

This work presents a variational mode decomposition (VMD) based detector for bearing fault in electrical machines. Its performance is compared to that of the ensemble empirical mode decomposition (EEMD) based. A notch filter based Pearson correlation was developed and used to extract the dominant mode. Experimental results showed that the VMD outperformed in terms of statistical features. As a result, the VMD-based notch filter could be a promising methodology for bearing fault detection and degradation prediction.
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hal-02972601 , version 1 (28-10-2021)

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Yassine Amirat, Elhoussin Elbouchikhi, Zhibin Zhou, Mohamed Benbouzid, Gilles Feld. Variational Mode Decomposition-based Notch Filter for Bearing Fault Detection. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Oct 2019, Lisbon, Portugal. pp.6028-6033, ⟨10.1109/IECON.2019.8926891⟩. ⟨hal-02972601⟩
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