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

Bus Impedance Matrix01:24

Bus Impedance Matrix

395
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
395

You might also read

Related Articles

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

Sort by
Same author

A Dual-FBG Sensor with Machine Learning for Microstrain-Temperature Decoupling Under Cyanoacrylate Bonding Toward Catheter Applications.

Micromachines·2026
Same author

Spectral Demodulation of Mixed-Linewidth FBG Sensor Networks Using Cloud-Based Deep Learning for Land Monitoring.

Sensors (Basel, Switzerland)·2025
Same author

A Deep Learning Framework for Enhancing High-Frequency Optical Fiber Vibration Sensing from Low-Sampling-Rate FBG Interrogators.

Sensors (Basel, Switzerland)·2025
Same author

One Raman DTS Interrogator Channel Supports a Dual Separate Path to Realize Spatial Duplexing.

Sensors (Basel, Switzerland)·2024
Same author

Reinforcement learning-based adaptive beam alignment in a photodiode-integrated array antenna module.

Optics letters·2024
Same author

Involvement of free-space optics in Raman distributed temperature sensing.

Optics letters·2023

Related Experiment Video

Updated: Nov 24, 2025

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

6.0K

Design Reliable Bus Structure Distributed Fiber Bragg Grating Sensor Network Using Gated Recurrent Unit Network.

Amare Mulatie Dehnaw1, Yibeltal Chanie Manie1, Ya Yu Chen1

  • 1Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

Sensors (Basel, Switzerland)
|December 29, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an improved Fiber Bragg Grating (FBG) sensor network using Intensity Wavelength Division Multiplexing (IWDM) and a Gated Recurrent Unit (GRU) algorithm. The GRU model accurately detects Bragg wavelengths, even with overlapping signals, enhancing sensor network capabilities.

Keywords:
Fiber Bragg GratingIntensity Wavelength Division Multiplexinggated recurrent unit network

More Related Videos

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
Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures
04:41

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

Published on: September 2, 2019

7.6K

Related Experiment Videos

Last Updated: Nov 24, 2025

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

6.0K
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
Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures
04:41

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

Published on: September 2, 2019

7.6K

Area of Science:

  • * Optical Engineering
  • * Sensor Technology
  • * Signal Processing

Background:

  • * Conventional Wavelength Division Multiplexing (WDM) has limitations in operational range.
  • * Intensity Wavelength Division Multiplexing (IWDM) enhances sensor count but introduces crosstalk.
  • * Crosstalk in IWDM leads to significant errors in sensor signal measurements.

Purpose of the Study:

  • * To design and demonstrate a bus structure Fiber Bragg Grating (FBG) sensor network.
  • * To enhance multiplexing capability and accuracy in detecting Bragg wavelengths.
  • * To overcome the crosstalk issue inherent in IWDM techniques.

Main Methods:

  • * Implementation of Intensity Wavelength Division Multiplexing (IWDM) with FBG sensors at specific power ratios (90:10 and 80:10).
  • * Development and training of a Gated Recurrent Unit (GRU) algorithm to address spectral overlap and crosstalk.
  • * Conversion of the spectral detection problem into a regression problem using sequential spectral features as input for the GRU model.

Main Results:

  • * The GRU model accurately identifies individual FBG Bragg wavelengths from overlapping spectra.
  • * Validation across various sensor configurations (3-FBG, 5-FBG, 7-FBG, 10-FBG) demonstrated consistent accuracy.
  • * The proposed system effectively handles partially or fully overlapped FBG spectra, irrespective of the number of sensors.

Conclusions:

  • * The GRU algorithm significantly improves the accuracy and reliability of FBG sensor networks.
  • * The proposed IWDM-based FBG sensor system offers superior multiplexing capabilities compared to previous methods.
  • * This approach enhances detection efficiency and reliability for advanced sensor network applications.