Article Dans Une Revue Mechanical Systems and Signal Processing Année : 2025

Damage detection and localization method for wind turbine rotor based on Operational Modal Analysis and anisotropy tracking

Résumé

Subspace-based damage detection methods are widely used for civil engineering structures modeled as linear time-invariant systems. For operating wind turbines modeled as linear time-periodic systems, these methods cannot be theoretically used, due to the inherent assumptions associated with these methods in the context of linear time-invariant systems. Based on a model approximation of time-periodic systems as time-invariant ones, these methods can still be applied and adapted to perform change detection for time-periodic systems, through a Gaussian residual built upon damage sensitive parameters coming from the identified modal parameters. The proposed method is tested and validated on data simulated with an aero-servo-elastic model of an operating wind turbine, with the detection of local stiffness reductions on a blade and the localization of the damaged blade. Furthermore, two selections of sensors are tested, to evaluate the impact of the sensor choice on the performance of the detection and localization methods.

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hal-04902642 , version 1 (21-01-2025)

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Ambroise Cadoret, Enora Denimal-Goy, Jean-Marc Leroy, Jean-Lou Pfister, Laurent Mevel. Damage detection and localization method for wind turbine rotor based on Operational Modal Analysis and anisotropy tracking. Mechanical Systems and Signal Processing, 2025, 224, pp.111982. ⟨10.1016/j.ymssp.2024.111982⟩. ⟨hal-04902642⟩
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