CAI Yujie,YANG Zhiquan,ZHANG Bihua,WEI Yufeng.Research on wind turbine blade damage based on pre-stressed FBG strain sensors[J].Optoelectronics Letters,2024,(2):83-88 Research on wind turbine blade damage based on pre-stressed FBG strain sensors Author Name Affiliation CAI Yujie  Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China Faculty of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming 650093, China Beijing FBGTECH Optic Electric Technology Co., Ltd., Beijing 100043, China  YANG Zhiquan  Faculty of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming 650093, China  ZHANG Bihua  Beijing FBGTECH Optic Electric Technology Co., Ltd., Beijing 100043, China  WEI Yufeng  Beijing FBGTECH Optic Electric Technology Co., Ltd., Beijing 100043, China  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. Hits: 80 Download times: 0 View Full Text    Download reader