D6.3 Thermographic Stall Detection Using Model-Based Evaluations of the Surface Temperature Response to Oscillating Fluid Temperatures
- SMSI 2021
2021-05-03 - 2021-05-06
- SMSI 2021 - Measurement Science
- D6 Advanced Methods and Measurement Systems
- F. Oehme, M. Sorg, A. Fischer - University of Bremen, Bremen (Germany)
- 271 - 272
In the operation of wind turbines, flow separation on rotor blades causes performance losses, structural loads and acoustic emissions. To unambiguously detect flow separation using thermographic images despite a low thermal contrast, a model-based signal processing approach is presented. The proposed signal processing approach evaluates the amplitudes of the surface temperature response to oscillating input signals selectively. Due to the direct correlation between the amplitude information and the flowdependent heat transfer coefficient, an unambiguous detectability of stall is achieved.