基于极限学习机的FBG波长漂移量预测方法  

Prediction method for FBG wavelength shift based on extreme learning machine

作　　者：尚秋峰[1,2,3] 杨根辈 SHANG Qiufeng;YANG Genbei(Department of Electronic and Communication Engineering,North China Electric Power University,Baoding Hebei 071003,China;Hebei Key Laboratory of Power Internet of Things Technology,North China Electric Power University,Baoding Hebei 071003,China;Baoding Key Laboratory of Optical Fiber Sensing and Optical Communication Technology,North China Electric Power University,Baoding Hebei 071003,China)

机构地区：[1]华北电力大学电子与通信工程系,河北保定071003 [2]华北电力大学河北省电力物联网技术重点实验室,河北保定071003 [3]华北电力大学保定市光纤传感与光通信技术重点实验室,河北保定071003

出　　处：《光通信技术》2021年第12期5-8,共4页Optical Communication Technology

基　　金：河北省自然科学基金项目(E2019502179)资助;国家自然科学基金项目(61775057)资助。

摘　　要：针对光纤布喇格光栅(FBG)传感系统的中心波长漂移问题,提出一种基于极限学习机(ELM)的FBG波长漂移量预测和泛化方法。该方法通过构建中心波长与波长漂移量的映射关系训练神经网络,实现对波长漂移量的预测和泛化。实验结果表明:该方法对FBG波长漂移量的预测误差小于1 pm,泛化误差小于2 pm,为FBG传感系统的现场校准提供了有益的探索。Aiming at the center wavelength shift problem in the fiber Bragg grating(FBG)sensing system,an FBG wavelength shift predict and generalization method based on extreme learning machine(ELM)is proposed.The method trains the neural network by constructing the mapping relationship between the center wavelength and the wavelength shift.It can realize the prediction and generalization of the wavelength shift.The experiment results show that the predicted error of FBG wavelength shift is less than 1 pm and the generalized error of FBG wavelength shift is less than 2 pm,which provides a useful exploration for the field calibration of FBG sensor system.

关 键 词：光纤布喇格光栅 波长漂移 极限学习机 预测 泛化 

分 类 号：TN256[电子电信—物理电子学]