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Communication Dans Un Congrès Année : 2023

Modal-Based Anisotropy Early Warning in Wind Turbine Rotor

Résumé

Subspace-based fault detection methods are widely used for linear time-invariant systems. For linear time-periodic systems, those methods cannot be theoretically used, due to the intrinsic assumptions associated with those methods in the context of linear time-invariant models. Based on the approximation of time-periodic systems as time-invariant ones, those methods can still be applied and adapted to perform change detection for time-periodic systems, through a Gaussian residual built upon the identified modal parameters and their estimated variances. The proposed method is tested and validated on a small numerical model of a rotating wind turbine, with detection and isolation of a blade stiffness reduction leading to rotor anisotropy.
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Dates et versions

hal-04391503 , version 1 (12-01-2024)

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Ambroise Cadoret, Enora Denimal, Jean-Marc Leroy, Jean-Lou Pfister, Laurent Mevel. Modal-Based Anisotropy Early Warning in Wind Turbine Rotor. IFAC World Congress, 2023, Yokohama, Japan. pp.11699-11704, ⟨10.1016/j.ifacol.2023.10.529⟩. ⟨hal-04391503⟩
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