Periodic System Approximation for Operational Modal Analysis of Operating Wind Turbine
| Autor: | Cadoret, Ambroise, Denimal, Enora, Leroy, Jean-Marc, Pfister, Jean-Lou, Mevel, Laurent |
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| Přispěvatelé: | IFP Energies nouvelles (IFPEN), Statistical Inference for Structural Health Monitoring (I4S), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département Composants et Systèmes (COSYS), Université Gustave Eiffel-Université Gustave Eiffel |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Vibration and Modal Analysis
[STAT.AP]Statistics [stat]/Applications [stat.AP] [PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph] Wind Turbine Subspace Methods Operational Modal Analysis [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH] Operational Modal Analysis Wind Turbine Subspace Methods Vibration and Modal Analysis |
| Zdroj: | EWSHM-10th European Workshop on Structural Health Monitoring EWSHM-10th European Workshop on Structural Health Monitoring, Jul 2022, Palermo, Italy. pp.1-10 |
| Popis: | International audience; The inherent modelling of the operational wind turbines and rotating machines do not agree in general with the assumptions of the operational modal analysis (OMA) methods developed for civil engineering, where time invariant systems are considered. Current OMA methods for rotating machines introduce datapre-processing to adapt classical identification methods. However, they show strong limitations and rely on strong assumptions, such as the isotropy of the rotor, making them hardly applicable in practice. To overcome these limitations, this paper proposes to employ the Floquet theory of periodic system to approximate rotating systems as time invariant systems. Thus, classical identification methods can be used to retrieve the parametric signature of the periodic systems. This Floquet-based approximation gives a physical meaning to the identified eigenmodes. The proposed approach is validated on both a small numerical model and an aero-servo-elastic numerical model of a rotating 10MW wind turbine, with isotropic and anisotropic rotors, using the stochastic subspace identification to retrieve the modes and their uncertainty. |
| Databáze: | OpenAIRE |
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