DOAJ Open Access 2023

A Novel Compact Fiber Optic Concentration Sensing System Based on Machine Learning Demodulation

Jie Xue Lilong Zhao Tutao Wang Lijiang Zhao Fenping Cui

Abstrak

A novel compact optical fiber concentration sensing system based on machine learning was proposed and experimentally demonstrated in this paper. The Michelson interferometer (MI) was realized by multiple arc discharge performed on the end of a section of bent bare single-mode fiber (SMF). To improve the stability and accuracy of demodulation, machine learning based on long short-term memory (LSTM) was employed and it provided an accuracy of 97.5%, which is more stable and accurate than conventional peak wavelength tracking due to the fact that LSTM can avoid the effects of dip selection, wavelength sampling rate and spectral noise on the peak wavelength tracking. Furthermore, the proposed sensing system has the advantages of compact size, low cost, high robustness, and ease of fabrication.

Topik & Kata Kunci

Applied optics. Photonics Optics. Light

Penulis (5)

Jie Xue

Lilong Zhao

Tutao Wang

Lijiang Zhao

Fenping Cui

Format Sitasi

APA MLA BibTeX

Xue, J., Zhao, L., Wang, T., Zhao, L., Cui, F. (2023). A Novel Compact Fiber Optic Concentration Sensing System Based on Machine Learning Demodulation. https://doi.org/10.1109/JPHOT.2023.3290984

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.1109/JPHOT.2023.3290984
Akses: Open Access ✓