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Optical frequency domain reflectometry-based high-performance distributed sensing empowered by a data and
Optics Express
|November 14, 2024
Summary
This study presents a novel neural network-enhanced Optical Frequency Domain Reflectometry (OFDR) system for distributed strain sensing. The system achieves unprecedented sub-millimeter spatial and sub-microstrain resolution over a 140-meter range.
Area of Science:
- Photonics and Optical Sensing
- Materials Science and Engineering
- Artificial Intelligence in Engineering
Background:
- Optical Frequency Domain Reflectometry (OFDR) offers high spatial resolution for distributed strain sensing.
- Simultaneously achieving high spatial resolution, high strain resolution, and large sensing ranges in OFDR systems is challenging.
- Existing OFDR systems face limitations in balancing resolution and range.
Purpose of the Study:
- To introduce and experimentally demonstrate a novel data and physics-driven neural network-empowered OFDR system.
- To achieve high-performance distributed sensing with simultaneous high spatial and strain resolution over an extended range.
- To overcome the limitations of conventional OFDR systems in achieving multi-parameter optimization.
Main Methods:
- Development of a neural network integrated with OFDR principles.
- Implementation of a data and physics-driven approach for sensor signal processing.
- Experimental validation of the proposed system's performance metrics.
Main Results:
- Demonstrated sub-microstrain (0.91 μɛ) strain resolution.
- Achieved sub-millimeter (0.857 mm) spatial resolution.
- Successfully operated across a 140-meter sensing range, combining all performance metrics.
Conclusions:
- The developed neural network-empowered OFDR system represents a significant advancement in distributed sensing.
- This work is the first experimental demonstration of OFDR achieving sub-millimeter spatial and sub-μɛ strain resolution over a >100m range.
- The findings open new avenues for ultra-high-performance optical fiber sensing for smart industrial applications.
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