Fast and Accurate Interrogation of Vernier Effect-Based Optical Fiber Sensors Enabled by Machine Learning
Abstract
The possibility of employing a light source with a small wavelength bandwidth (35 nm) and a coarsely resolved spectrometer (~166 pm) for the interrogation of a Vernier effect-based high-sensitivity optical fiber sensor is demonstrated.
Recommended Citation
C. Zhu and J. Huang, "Fast and Accurate Interrogation of Vernier Effect-Based Optical Fiber Sensors Enabled by Machine Learning," CLEO: Science and Innovations, CLEO: S and I 2024 in Proceedings CLEO 2024, Part of Conference on Lasers and Electro-Optics, Optica Publishing Group, Jan 2024.
The definitive version is available at https://doi.org/doi.org/10.1364/CLEO_AT.2024.JTh2A.149
Department(s)
Electrical and Computer Engineering
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Optica Publishing Group, All rights reserved.
Publication Date
01 Jan 2024
