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Pipeline Monitoring Using Highly Sensitive Vibration Sensor Based on Fiber Ring Cavity Laser
Nageswara Lalam1, Ping Lu1,2, Abhishek Venketeswaran1
1National Energy Technology Laboratory, 626 Cochrans Mill Road, Pittsburgh, PA 15236, USA.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
This study introduces a novel fiber optic vibration sensor for precise acoustic emission monitoring. The system effectively detects vibrations across a broad frequency range, demonstrating real-time pipeline monitoring capabilities.
Area of Science:
- Photonics and Optical Sensing
- Fiber Optic Sensors
- Acoustic Emission Monitoring
Background:
- Traditional vibration sensors face limitations in sensitivity and bandwidth.
- Fiber optic sensors offer advantages in remote sensing and immunity to electromagnetic interference.
- Accurate acoustic emission monitoring is crucial for structural health assessment.
Purpose of the Study:
- To propose and demonstrate a novel vibration fiber sensor.
- To enhance signal-to-noise ratio for improved detection.
- To validate the sensor's performance in a real-world pipeline monitoring scenario.
Main Methods:
- Integration of a single-mode-multimode-single-mode (SMS) fiber structure within a fiber ring cavity laser.
- Optimization of the ring laser's lasing wavelength to the SMS transmission spectrum's maximum gain region.
- Experimental testing across a wide frequency range (10 Hz to 400 kHz) and field deployment for pipeline monitoring.
Main Results:
- Successful demonstration of a vibration fiber sensor with a fiber ring cavity laser and SMS structure.
- Achieved a high signal-to-noise ratio by tuning the laser wavelength to the optimal biasing point.
- Validated real-time vibration monitoring on an 18" pipeline using induced vibrations.
Conclusions:
- The proposed fiber optic vibration sensor system is highly sensitive and effective.
- The system enables real-time acoustic emission monitoring for pipelines.
- This technology holds significant potential for structural health monitoring applications.

