A new modified sliding window empirical mode decomposition technique for signal carrier and harmonic separation in non-stationary signals: Application to wind turbines

Jack Salameh; Sebastien Cauet; Erik Etien; Anas Sakout; Laurent Rambault

doi:10.1016/j.isatra.2018.12.019

Journal articles

A new modified sliding window empirical mode decomposition technique for signal carrier and harmonic separation in non-stationary signals: Application to wind turbines

Jack Salameh ^{1, 2} Sebastien Cauet ¹ Erik Etien ¹ Anas Sakout ² Laurent Rambault ¹

1 LIAS - Laboratoire d'Informatique et d'Automatique pour les Systèmes

2 LaSIE - Laboratoire des Sciences de l'Ingénieur pour l'Environnement - UMR 7356

Document type :

Journal articles

Domain :

Physics [physics] / Physics [physics]

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https://hal-univ-rochelle.archives-ouvertes.fr/hal-02447356
Contributor : Anas Sakout <>
Submitted on : Tuesday, January 21, 2020 - 3:26:50 PM
Last modification on : Wednesday, December 2, 2020 - 1:14:15 PM

A new modified sliding window empirical mode decomposition technique for signal carrier and harmonic separation in non-stationary signals: Application to wind turbines

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A new modified sliding window empirical mode decomposition technique for signal carrier and harmonic separation in non-stationary signals: Application to wind turbines

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