Laser & Optoelectronics Progress, Volume. 61, Issue 9, 0906004(2024)
Damage Detection Method for Wind Turbine Blade Based on Optical Frequency Domain Reflectometry
Fig. 4. Strain at the leaf root sensing location at different wind speeds. (a) Time domain diagram; (b) frequency domain diagram
Fig. 7. Blade strain values at different wind speeds in forward wind. (a) Normalized strain distribution of undamaged blade; (b) normalized strain distribution of damaged blade
Fig. 8. Blade strain values at different wind speeds in reverse wind. (a) Undamaged blade strain distribution; (b) damaged blade normalized strain distribution
Fig. 9. Two-dimensional strain distribution of the blade. (a) Single damage; (b) multiple damages
Fig. 10. Strain with 10% damage degree at 2.4 m of the blade. (a) Normalized strain distribution; (b) normalized strain change rate distribution
Fig. 11. Strain distribution and damage coefficient of the damaged blade. (a) Normalized strain distribution diagram of fan blades with different damage degrees at 1.0 m damage; (b) relationship between damage level and damage factor for different damage cases
Fig. 14. Strain of cantilever beams. (a) Strain distribution of damaged and undamaged cantilever beams; (b) strain distribution of damaged cantilever beams at different deformations
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Junchao Dong, Mingming Luo, Jianfei Liu, Wenrong Yang. Damage Detection Method for Wind Turbine Blade Based on Optical Frequency Domain Reflectometry[J]. Laser & Optoelectronics Progress, 2024, 61(9): 0906004
Category: Fiber Optics and Optical Communications
Received: Jun. 1, 2023
Accepted: Jul. 12, 2023
Published Online: May. 6, 2024
The Author Email: Jianfei Liu (jfliu@hebut.edu.cn)
CSTR:32186.14.LOP231432