Research on Temperature Compensation Method of Fiber Grating Sensor Based on Extreme Learning Machine
In response to the issue of non-linear changes in the output of grating sensors at high temperatures,a nonlinear model inte-grated with ELM extreme learning machine is established,the experimental temperature is predicted through temperature compensation grating,and the output of pressure-sensitive grating at the corresponding temperature is predicted,so as to solve the temperature com-pensation problem of grating pressure sensor at high temperature.The experimental results show that the model can effectively solve the temperature compensation of Bragg pressure sensor at high temperature.The prediction of the Extreme Learning Machine(ELM) has a small deviation from the actual results,with a maximum detection error of only 1.231％FS.
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维普
