In this paper, we propose a novel neural network model named by Multi-branch Long Short-Time Memory Convolution Neural Network (MLSTM-CNN) for identifying disturbance signals in distributed optic.
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We achieve distributed sensing of the feeder link in passive optical networks employing a phase-sensitive optical time-domain reflectometer, while enhancing event monitoring by leveraging Fresnel
Various sensing structures including fiber Bragg grating (FBG), multi-single-multi mode (MSM), single-multi-single (SMS) mode have proved their efficacy in these aspects.
We propose a fiber optic sensor based on linear Sagnac interferometer for branch localization for practical environments where branch paths exist. The system is based on a dual
Compared to a single DOFS system, the multi-parameter measurements based on hybrid DOFS offer multidimensional valuable information to prevent misjudgments and false alarms. The highly
In this paper, we propose a novel neural network model named by Multi-branch Long Short-Time Memory Convolution Neural Network (MLSTM-CNN) for identifying disturbance signals in
In this paper, we review the research progress in MCF based distributed fiber sensors. Brief introductions of MCF and the multiplexing/de-multiplexing methods are presented.
An optimized single-end hybrid Rayleigh, Brillouin, and Raman distributed fiber sensing system has been developed for simultaneous measurement of multiple parameters.
In this review, we provide an overview of the latest developments in MMF sensors, ranging from conventional methods to those assisted by machine learning.
When appropriately designed, distributed fiber-optic sensors provide a powerful and highly informative platform capable of delivering spatially resolved measurements of multiple