EMD-Kalman filter design for wind turbine condition monitoring
| Autor: | Laurent Rambault, Jack P. Salameh, Erik Etien, Anas Sakout, Sebastien Cauet |
|---|---|
| Přispěvatelé: | Laboratoire d'Informatique et d'Automatique pour les Systèmes (LIAS), Université de Poitiers-ENSMA, Laboratoire des Sciences de l'Ingénieur pour l'Environnement - UMR 7356 (LaSIE), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Wind power Observer (quantum physics) [PHYS.PHYS]Physics [physics]/Physics [physics] business.industry Computer science 020208 electrical & electronic engineering Condition monitoring Angular velocity Rotational speed 02 engineering and technology Kalman filter Turbine Harmonic analysis 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering Harmonic business ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), Jun 2019, Vancouver, France. pp.515-520, ⟨10.1109/ISIE.2019.8781448⟩ ISIE |
| DOI: | 10.1109/ISIE.2019.8781448⟩ |
| Popis: | This article deals with the monitoring of mechanical defects in wind turbine transmissions. The presented algorithms make possible to extract a particular harmonic relating to a defect in different speed conditions (fixed speed and variable speed). The method used here is performed without mechanical sensor. An observer is used to estimate the rotation speed measured from voltages and currents. This observer ensures amplification of the defect. Then, a Kalman Filter estimator coupled with a modified Sliding Window Empirical Mode Decomposition (SWEMD) extraction allows to extract the harmonic corresponding to the defect and follow it in real time. The results are provided in the case of a wind turbine installation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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