用于多点分布式多峰值 FBG 传感器的基于联合学习的波长解调系统。

IF 3.2 2区 物理与天体物理 Q2 OPTICS Optics express Pub Date : 2024-11-04 DOI:10.1364/OE.533561
Xuan Hou, Sufen Ren, Kebei Yu, Yule Hu, Haoyang Xu, Chenyang Xue, Shengchao Chen, Guanjun Wang
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引用次数: 0

摘要

基于机器学习的多峰值光纤布拉格光栅(FBG)传感器解调技术已被广泛研究,由于它可以忽略潜在的物理限制因素,因此与传统算法相比表现出更优越的性能。随着现实世界监测点数量的增加,光纤传感数据量也呈指数级增长。与传统的单点监测不同,这就需要汇聚来自不同区域的数据(例如通过 Wi-Fi),从而对服务器的存储容量和通信效率提出了挑战。为解决这些问题,本文提出了一种基于联合学习(FL)的框架,用于多点监测中多峰值 FBG 的高效波长解调。具体来说,在不同监测点采用具有复用功能的阵列波导光栅(AWG),将光谱特征转换为多通道传输强度,作为本地模型的训练数据。随后,在每个监测点独立训练的本地模型参数被上传到中央服务器,以得出最佳的全局模型,用于不同监测点的解调。通过对多峰值 FBG 传感器进行应力解调实验,验证了所提出的解调框架。实验结果表明,多峰值提取性能很强,解调误差为 ±0.64 pm。此外,该方法还证明了在各种情况下通过多节点协同工作生成高精度全局解调模型的出色适用性。
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Federated learning-based wavelength demodulation system for multi-point distributed multi-peak FBG sensors.

Machine learning-based demodulation of multi-peak fiber Bragg grating (FBG) sensors has been extensively studied, demonstrating superior performance compared to conventional algorithms because it can neglect potential physical constraints. As the number of real-world monitoring points increases, the volume of fiber-optic sensing data grows exponentially. This necessitates aggregating data from various regions (e.g., via Wi-Fi), unlike traditional single-point monitoring, which challenges server storage capacity and communication efficiency. To address these issues, this paper proposes a federated learning (FL)-based framework for efficient wavelength demodulation of multi-peak FBGs in multipoint monitoring. Specifically, an arrayed waveguide grating (AWG) with multiplexing capability is employed at different monitoring points to convert spectral features into multi-channel transmission intensities, serving as training data for local models. Subsequently, the local model parameters, trained independently at each point, are uploaded to a central server to derive the optimal global model for demodulation across different monitoring points. The proposed demodulation framework is validated through stress demodulation experiments on multi-peak FBG sensors. Experimental results indicate strong multi-peak extraction performance with a demodulation error of ±0.64 pm. Additionally, the method demonstrates excellent applicability for generating high-precision global demodulation models through multi-node cooperative work under various scenarios.

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来源期刊
Optics express
Optics express 物理-光学
CiteScore
6.60
自引率
15.80%
发文量
5182
审稿时长
2.1 months
期刊介绍: Optics Express is the all-electronic, open access journal for optics providing rapid publication for peer-reviewed articles that emphasize scientific and technology innovations in all aspects of optics and photonics.
期刊最新文献
Design of a high transmission illumination optics for anamorphic EUV lithography optics using deep reinforcement learning. Optical lattices with variable spacings generated by binary phase transmission gratings. Ultra-flat electro-optic frequency comb based on a chirp-modulated lithium niobate resonator. Optical properties of InGaN-based red quantum well and microcavity. Optical tactile sensor based on a flexible optical fiber ring resonator for intelligent braille recognition.
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