Research on wind turbine blade damage based on pre-stressed FBG strain sensors
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Abstract:
Wind turbine blades are one of the core components that capture wind energy in a wind power generator. As the service time of wind turbines increases, the safety of the blades gradually de-creases. Therefore, a chip-type pre-stressed FBG strain sensor was designed for real-time moni-toring. Combined with simulation analysis, the structure of the sensor was optimized. Through calibration experiments, it was found that the pre-stressing process increased the measurement range of the sensor, ensured a consistent overall linearity, and avoided the possible hysteresis phenomenon during compression. The final sensitivity of the sensor was determined to be 1.970pm/με, with a linear fitting coefficient of 0.999. Finally, the sensor was used to monitor the wind turbine blades and it was found that the strain change curve of the root of a normally functioning blade is a sine curve, which provides a certain reference value for judging whether the blade is damaged in the future.
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Project Supported:
The National Basic Research Program of China (973 Program)
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