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

Nanodot-Inspired Precise Bacterial Gene Suppression in a Smart Hydrogel Bandage for Underwater Wound Healing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Myocardia-Injected Synergistically Anti-Apoptotic and Anti-Inflammatory Poly(amino acid) Hydrogel Relieves Ischemia-Reperfusion Injury.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Phosphorylation of PA at serine 225 enhances viral fitness of the highly pathogenic H5N1 avian influenza virus in mice.

Veterinary microbiology·2025
Same author

Comprehensive Analysis of Immune Characteristics of Fluorosis and Cuprotosis-Related Genes in Fluorosis Targeted Drugs.

Biological trace element research·2025
Same author

FOXM1 promotes malignant biological behavior and metabolic reprogramming by targeting SPINK1 in hepatocellular carcinoma and affecting the p53 pathway.

Biochimica et biophysica acta. Molecular basis of disease·2025
Same author

MXene/Ag-Based Zwitterionic Double-Network Hydrogels with Enhanced Mechanical Strength and Antifouling Performances.

ACS applied materials & interfaces·2025
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: Aug 29, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.2K

Small-Diameter Tube Wall Damage-Detection Method Based on TE01 Mode Microwave.

Meng Shi1, Lijian Yang1, Songwei Gao1

  • 1School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.

Sensors (Basel, Switzerland)
|September 9, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a microwave-based method for detecting inner wall damage in small-diameter gas pipelines. The technique effectively identifies defects by analyzing microwave reflection changes, ensuring pipeline safety.

Keywords:
TE01 modecommunication modefield distribution equationfrequency shiftreflection coefficientreturn losssmall diameter pipeline detection

More Related Videos

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices
09:26

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices

Published on: June 26, 2015

8.8K
Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
05:30

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

8.3K

Related Experiment Videos

Last Updated: Aug 29, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.2K
In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices
09:26

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices

Published on: June 26, 2015

8.8K
Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
05:30

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

8.3K

Area of Science:

  • Engineering
  • Materials Science
  • Physics

Background:

  • Urban gas pipelines are prone to accidents, necessitating robust safety measures.
  • Detecting inner wall damage in small-diameter pipelines presents significant challenges.

Purpose of the Study:

  • To propose and validate a novel microwave-based detection method for inner wall damage in small-diameter pipelines.
  • To utilize the TE01 mode microwave and terminal short-circuit reflection for defect identification.

Main Methods:

  • Developed a detection method based on the TE01 mode microwave and terminal short-circuit reflection.
  • Established microwave reflection coefficient equations considering TE and TM mode transitions at defects.
  • Utilized finite integral theory to simulate electric field, magnetic field, and wall current distribution.
  • Built an experimental platform for microwave detection of small-diameter pipes.

Main Results:

  • Inner wall defects distort the electric field, magnetic field, current propagation, and energy distribution of TE01 mode microwaves.
  • Microwave reflection coefficient and return loss show significant frequency shifts correlating with defect width.
  • Simulation and experimental results demonstrated good consistency.

Conclusions:

  • The proposed TE01 mode microwave detection method is effective for identifying inner wall damage in small-diameter pipelines.
  • The method provides a reliable approach for enhancing pipeline safety and integrity monitoring.