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Lptv Subspace Analysis of Wind Turbines Data

Authors :
Mevel, L.
Gueguen, I.
Dmitri Tcherniak
Statistical Inference for Structural Health Monitoring (I4S)
Département Composants et Systèmes (IFSTTAR/COSYS)
Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon-PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Lille Nord de France-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon-PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Lille Nord de France-Inria Rennes – Bretagne Atlantique
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
Bruel and Kjaer Sound and Vibration Measurement
Bruel and Kjaer
IFFSTTAR, Inria, Université de Nantes
Le Cam, Vincent
Mevel, Laurent
Schoefs, Franck
Jaigu, Anne
Source :
EWSHM-7th European Workshop on Structural Health Monitoring, EWSHM-7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Jul 2014, Nantes, France, Scopus-Elsevier
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

International audience; 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.

Details

Language :
English
Database :
OpenAIRE
Journal :
EWSHM-7th European Workshop on Structural Health Monitoring, EWSHM-7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Jul 2014, Nantes, France, Scopus-Elsevier
Accession number :
edsair.dedup.wf.001..5f9de3c21f6cbe8998854c8f709b4154