Research Publications

UW-FBG Research & Publications

Peer-reviewed research papers on ultra-weak fiber Bragg grating (UW-FBG) technology — from demodulation system design to distributed sensing cable development and industrial applications.

Our Research Papers

Featuring 6 research publications from China Three Gorges University and partner institutions, covering UW-FBG demodulation systems, sensing cables, and real-world applications.

UW-FBG Modular Demodulation System
Paper 01

A Modularized Ultra-Weak Fiber Bragg Grating Demodulation System

Y.-L. Xiong, L. Chen, Z.-H. Luo, et al.

College of Science & Hubei Engineering Research Center of Weak Magnetic-field Detection, China Three Gorges University

A modularized UW-FBG demodulation system for field monitoring and system deep integration. Features 250 MSPS high-speed A/D acquisition, embedded FPGA-based hardware, and C# host computer software for real-time 4-channel sensor array demodulation. Achieves <13W power consumption with <230mm × 170mm × 40mm footprint and >10km single-channel sensing distance.

Modular DAS Demodulation System
Paper 02

A Modular Distributed Acoustic Sensing (DAS) Demodulation System Based on UW-FBG

Z.-H. Luo, Z. Yang, B. Lu, B. Xu

College of Science, China Three Gorges University

A low-power, high-sensitivity modular DAS demodulation system based on UW-FBG technology. Uses Zynq embedded circuits for system control and 3×3 arctangent phase demodulation. Achieves <20W power consumption, background noise of 2.16pε/√Hz (5Hz-1280Hz), and 0.9993 linearity. Output data volume is only ~2.6% of traditional DAS systems.

OFDR Demodulation System
Paper 03

OFDR Demodulation System Based on Adaptive Gaussian Fitting for Ultra-Weak Fiber Bragg Gratings

Z.-H. Luo, Z. Yang, et al.

College of Science & Hubei Engineering Research Center of Weak Magnetic-field Detection, China Three Gorges University; Shijiazhuang Tiedao University

An OFDR demodulation system for Ultra-Weak FBGs using adaptive Gaussian fitting. Incorporates Power Spectral Density thresholding and 3σ criterion for dynamic grating interval trimming, significantly reducing computational demands and enhancing demodulation speed. Features a 12-layer 250 MSPS SoC hardware platform for high-speed acquisition and real-time processing.

Distributed Strain Sensing Cable
Paper 04

Distributed Strain Sensing Fiber Optic Cable Based on Ultra-Weak Fiber Bragg Gratings

L. Chen, Y.-L. Xiong, Z.-H. Luo, et al.

College of Science & Hubei Engineering Research Center of Weak Magnetic-field Detection, China Three Gorges University

A distributed strain sensing cable based on FRP encapsulation for UW-FBG arrays. Addresses low transfer efficiency, strain dead zones, and chirping issues in linearized encapsulation. Uses ANSYS simulation to analyze strain transfer in fiber/FRP-steel cable-sheath structures. Features 0.2m-pitch UW-FBG arrays hot-pultruded with glass fiber for 1.0mm diameter FRP sensing fiber.

Stranded Acoustic Sensing Cable
Paper 05

Acoustic Response Characteristics of Stranded-Structure DAS Sensing Cable

Z.-H. Luo, Y.-L. Xiong, et al.

Power China Guiyang Engineering Corporation; College of Mathematics and Physics, China Three Gorges University

A stranded-structure DAS sensing cable designed to address insufficient acoustic sensitivity and mid-to-high frequency attenuation in conventional cables. Analyzes acoustic propagation in four-layer solid-gas composite media and establishes an acoustic pressure transfer model. Fabricated and tested with 5m-spaced UW-FBG arrays for pipeline leak monitoring applications.

Conveyor Belt Fault Detection
Paper 06

Belt Conveyor Idler Fault Detection Based on uwDAS Cable and Fiber Optic Microphone

Y.-L. Xiong, L. Chen, Z.-H. Luo, et al.

College of Mathematics and Physics & Hubei Engineering Research Center of Weak Magnetic-field Detection, China Three Gorges University

A fault detection system combining fiber optic microphones and uwDAS distributed optical cables for belt conveyor idler monitoring. Microphones deployed near motors and hoppers with distributed cables laid along the conveyor belt perimeter for blind-spot-free acoustic signal acquisition. Uses VMD-based noise reduction and time-frequency analysis for real-time idler fault detection.

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