Abstract
We present a general investigation of a Long-Period Grating (LPG) for transverse strain measurement. The transverse strain sensing characteristics, for instance, the load intensity and azimuthal angle, are analyzed with the data set generated by the long-period grating sensor, which can be detected by using artificial nerural network (ANN). Furthermore, we evaluate and compare the predictive performance of the interrogation model considering the square correlation coefficient (R2) and root mean square error (RMSE). The results indicate that the ANN model could be successfully employed to estimate the load intensity and azimuthal angle.
Highlights
Long Period Gratings (LPGs) are fiber optic devices, which are extremely important in the field of optical communications [1]-[3] and instrumentation [4]-[7]
In this context, [8], [9] conducted experiments using LPGs inscribed by UV laser and reported that the attenuation band of the grating was split into two sub dips with the increased transverse load
In order to resolve the nonlinearities of transverse load and correlate it to the load intensity and angle we propose the use of artificial neural network (ANN)
Summary
Long Period Gratings (LPGs) are fiber optic devices, which are extremely important in the field of optical communications [1]-[3] and instrumentation [4]-[7]. Concerning sensing applications, the transverse load characteristic is an extremely important mechanical feature of LPGs. Some previous research focused on the investigation of their behavior under transverse load effect. Some previous research focused on the investigation of their behavior under transverse load effect In this context, [8], [9] conducted experiments using LPGs inscribed by UV laser and reported that the attenuation band of the grating was split into two sub dips with the increased transverse load. Whereas in [11], the authors showed that the sensitivity of the LPGs produced by the CO2 laser technique strongly depends upon load orientation. The intrinsic response of LPGs to transverse load imposes serious implications for the discrimination of transverse load and it is important to remark that it is a nonlinear problem, since the load orientation affects LPG’s sensitivity to the load itself
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