LiDAR-Driven Modal Identification for Wind Turbine Faults
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Association Bernard Gregory is seeking candidates for a PhD position focused on modal identification methods using LiDAR-based full-field measurements. The project addresses fault detection in both onshore and offshore wind turbines, integrating OMA techniques with LTP system modeling.
The role requires a University Master degree in Applied Mathematics or Mechanical Engineering and English at CEFR B2 level.
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Lyon, Auvergne-Rhône-Alpes, France Association Bernard Gregory Temps pleinModal identification methods using LiDAR-based full-field measurements: application to fault detection in onshore and offshore wind turbines 25/08/2026 Contrat doctoral Modal identification methods using LiDAR-based full-field measurements: application to fault detection in onshore and offshore wind turbines System