Achieving precise multiparameter measurements with distributed optical fiber sensor using wavelength diversity and deep neural networks.

ABSTRACT: The development of advanced distributed optical fiber sensing systems that are capable of performing accurate and spatially resolved multiparameter measurements is of great interest to a wide range of scientific and industrial applications. Here, we propose and experimentally demonstrate a wavelength diversity based advanced distributed optical fiber sensor system to accomplish multiparameter sensing while greatly enhancing measurement accuracy. A suite of deep neural network (DNN) algorithms are developed and verified for data denoising, rapid Brillouin frequency shift estimation, and vibration data event classification. As a proof-of-concept, we demonstrate the effectiveness of the proposed advanced wavelength diversity distributed fiber sensor system assisted by DNN for simultaneous, in

SUBMITTER: Lalam N 

PROVIDER: S-EPMC11366030 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature