Lptv Subspace Analysis of Wind Turbines Data

Laurent Mevel 1 Ivan Gueguen 2 Dmitri Tcherniak 3
1 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
2 IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux
3 Bruel and Kjaer Sound and Vibration Measurement
Abstract : The modal analysis of a wind turbine has been generally handled with the assumption that this structure can be accurately modeled as linear time-invariant. Such assumption may be misleading for stability analysis, especially, with the current development of very large wind turbines with complex dynamic behavior (nonlinearity, aeroelastic coupling). Therefore in this paper, the inherent periodically time-varying dynamics of wind turbines (and for rotating systems, in general) is taken into account. Recently a subspace algorithm for modal analysis of rotating systems has been proposed. It is tested on a simulated and real data from a wind turbine.
Keywords : Modal analysis Marine SHM applications Energy SHM applications for offshore structures
Type de document :
Communication dans un congrès
Le Cam, Vincent; Mevel, Laurent; Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014
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Dernière modification le : mercredi 11 avril 2018 - 02:01:27
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EWSHM2014 | EWSHM-TUAT6 | INRIA | INSMI | IFSTTAR | UNAM | INRIA-RENGRE

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Laurent Mevel, Ivan Gueguen, Dmitri Tcherniak. Lptv Subspace Analysis of Wind Turbines Data. Le Cam, Vincent; Mevel, Laurent; Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014. 〈hal-01020346〉

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