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Communication Dans Un Congrès Année : 2022

Linear Time Invariant Approximation for Subspace Identification of Linear Periodic Systems Applied to Wind Turbines

Résumé

In this paper, subspace identification for wind turbines and more generally rotating periodic systems are investigated. Previous works have stressed the difficulty of modeling such systems as Linear Time Invariant and thus to apply classical Stochastic Subspace Identification. Such works plead for periodic or augmented theories. In this paper, the classical SSI can be applied to recover modal information that is related to the eigenstructure of the instrumented system despite the system excitation being modeled as non-stationary.
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Dates et versions

hal-03786774 , version 1 (23-09-2022)

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Ambroise Cadoret, Enora Denimal, Jean-Marc Leroy, Jean-Lou Pfister, Laurent Mevel. Linear Time Invariant Approximation for Subspace Identification of Linear Periodic Systems Applied to Wind Turbines. SAFEPROCESS 2022- 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Jun 2022, Pafos, Cyprus. pp.49-54, ⟨10.1016/j.ifacol.2022.07.104⟩. ⟨hal-03786774⟩
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