Abstract
One of the essential parts of a wind power generator that captures wind energy is the wind turbine blade. The safety of the blades rapidly declines as a wind turbine’s operating period grows. For real-time monitoring, a chip-type pre-stressed fiber Bragg grating (FBG) strain sensor was fabricated. The sensor’s structure was improved using simulation analysis along with optimization. It was discovered through calibration trials that the pre-stressing method expanded the sensor’s range of measurement, guaranteed overall linearity, and prevented the potential hysteresis phenomena during compression. The sensor’s final sensitivity was calculated to be 1.970 pm/µε, and its linear fitting coefficient was 0.999. Finally, the sensor was used to monitor the wind turbine blades and the strain change curve of the root of a normally functioning blade is found to be a sine curve, which provides a certain reference value for judging whether the blade is damaged in the future.
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This work has been supported by the National Natural Science Foundation of China (No.41861134008), the Muhammad Asif Khan Academician Workstation of Yunnan Province (No.202105AF150076), the Key R&D Program of Yunnan Province (No.202003AC100002), the General Program of Basic Research Plan of Yunnan Province (No.202001AT070043), the Science and Technology Talents and Platform Program of Yunnan Province (No.202305AD160064), and the Basic Research Project of Yunnan Province (No.202201AT070283).
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Cai, Y., Yang, Z., Zhang, B. et al. Research on wind turbine blade damage based on pre-stressed FBG strain sensors. Optoelectron. Lett. 20, 83–88 (2024). https://doi.org/10.1007/s11801-024-3093-6
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DOI: https://doi.org/10.1007/s11801-024-3093-6