Performance enhancement of arrayed waveguide grating‐based fibre Bragg grating interrogation assisted by random forest-Reference-Cited by-同舟云学术

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Performance enhancement of arrayed waveguide grating‐based fibre Bragg grating interrogation assisted by random forest

Published:2022-11-30 Issue:1 Volume:59 Page:
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electronics Letters

Author:

Yue Zizheng¹,Li Wenbo¹,Zheng Di¹,Xie Changjian¹,Pan Wei¹,Zou Xihua¹

Affiliation:

1. The Center for Information Photonics & Communications School of Information Science and Technology Southwest Jiaotong University Chengdu China

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Natural Science Foundation of Sichuan Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ell2.12682

Reference12 articles.

1. FBG Sensors for Environmental and Biochemical Applications—A Review

2. Damage identification using deep learning and long‐gauge fiber Bragg grating sensors;Wenda Z.;Appl. Opt.,2020

3. A novel low‐cost gas sensor for CO2 detection using polymer‐coated fiber Bragg grating;Zhenze Z.;Sensors Actuat. B Chem.,2021

4. Fast Demodulation of Fiber Bragg Grating Wavelength From Low-Resolution Spectral Measurements Using Buneman Frequency Estimation

5. Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design and Implementation of Tilted FBG for Concurrent Temperature and Humidity Measurement using Machine Learning;Optical Fiber Technology;2024-01

2. Large Dynamic Range Interrogation Technique for Fiber-Optic Interferometric Sensor Based on AWG and Deep Learning Algorithm;IEEE Sensors Journal;2024-01-01

3. Dual-Parameter Demodulation of FBG-FPI Cascade Sensors via Sparse Samples: A Deep Learning-Based Perspective;IEEE Sensors Journal;2023-10-01

4. Data-Efficient Machine Learning Algorithms for the Design of Surface Bragg Gratings;ACS Applied Optical Materials;2023-08-14

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