Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

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

Communications engineering·2024
Same author

Multi-parameter distributed fiber optic sensing using double-Brillouin peak fiber in Brillouin optical time domain analysis.

Optics express·2023
Same author

Pilot-scale testing of natural gas pipeline monitoring based on phase-OTDR and enhanced scatter optical fiber cable.

Scientific reports·2023
Same author

Robust Vector BOTDA Signal Processing with Probabilistic Machine Learning.

Sensors (Basel, Switzerland)·2023
Same author

Multiplexable high-temperature stable and low-loss intrinsic Fabry-Perot in-fiber sensors through nanograting engineering.

Optics express·2020
Same author

Integrating Radio-Over-Fiber Communication System and BOTDR Sensor System.

Sensors (Basel, Switzerland)·2020
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Nov 10, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.5K

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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
fiber ring laserpipeline monitoringvibration sensing

More Related Videos

Fabrication and Testing of Microfluidic Optomechanical Oscillators
09:10

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Published on: May 29, 2014

12.4K
Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

12.2K

Related Experiment Videos

Last Updated: Nov 10, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.5K
Fabrication and Testing of Microfluidic Optomechanical Oscillators
09:10

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Published on: May 29, 2014

12.4K
Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

12.2K

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.