Ultra-long large-capacity FBG sensing system with deep learning

Zeyuan Yang; Jie Liu; Bing Han; Zi-nan Wang; Yun-jiang Rao; Shi-sheng Dong

doi:10.1117/12.2625086

27 March 2022 Ultra-long large-capacity FBG sensing system with deep learning

Zeyuan Yang, Jie Liu, Bing Han, Zi-nan Wang, Yun-jiang Rao, Shi-sheng Dong

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121697Y (2022) https://doi.org/10.1117/12.2625086
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

In this paper, a novel fiber Bragg grating (FBG) sensing system is proposed with large capacity and long transmission distance to achieve multi-parameter measurements. Record system performances are achieved via the use of high-order random lasing and remote optical pumping amplifications as well as the combination of time-division multiplexing and wavelength-division multiplexing technologies. The experimental results show that the sensing distance can reach 150km with single-end amplification and the optical signal-to-noise ratio (OSNR) is >4dB with good linearity of 0.9992 for 308 FBGs. We also proposed a new denoising method based on deep-learning, and the OSNR is enhanced to 10.2dB from 4.1dB, which is much better than the wavelet and empirical mode decomposition (EMD) methods reported, ensuring the high accuracy of the center wavelength detection with deep-learning denoising correspondingly.

Citation Download Citation

Zeyuan Yang, Jie Liu, Bing Han, Zi-nan Wang, Yun-jiang Rao, and Shi-sheng Dong "Ultra-long large-capacity FBG sensing system with deep learning", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121697Y (27 March 2022); https://doi.org/10.1117/12.2625086

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available