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

Force Classification01:22

Force Classification

1.2K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.2K
Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

477
Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
The surface integral of an electric field is given by Gauss's law in integral form and is related to...
477
Classification of Signals01:30

Classification of Signals

461
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
461
Boundary Layer Characteristics01:18

Boundary Layer Characteristics

110
When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
110
Classification of Systems-I01:26

Classification of Systems-I

186
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
186
Classification of Systems-II01:31

Classification of Systems-II

146
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
146

You might also read

Related Articles

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

Sort by
Same author

Research on transformer fault diagnosis models with feature extraction.

The Review of scientific instruments·2024
Same author

Efficient Cross-Modality Insulator Augmentation for Multi-Domain Insulator Defect Detection in UAV Images.

Sensors (Basel, Switzerland)·2024
Same author

A Method for Settlement Detection of the Transmission Line Tower under Wind Force.

Sensors (Basel, Switzerland)·2018
Same author

Experimental Study on the Icing Dielectric Constant for the Capacitive Icing Sensor.

Sensors (Basel, Switzerland)·2018
Same author

Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors.

Sensors (Basel, Switzerland)·2018

Related Experiment Video

Updated: Jul 2, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

537

Weather-Domain Transfer-Based Attention YOLO for Multi-Domain Insulator Defect Detection and Classification in UAV

Yue Liu1, Xinbo Huang1,2, Decheng Liu3

  • 1School of Electrical Engineering, Xi'an University of Technology, Xi'an 710054, China.

Entropy (Basel, Switzerland)
|February 23, 2024
PubMed
Summary

This study introduces a novel network for detecting defects in transmission line insulators, even in challenging weather conditions. The new method enhances accuracy for small, inconsistently shaped insulators using domain synthesis and attention mechanisms.

Keywords:
classificationcross-modality informationimage processinginsulator defect detection

More Related Videos

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K
Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.2K

Related Experiment Videos

Last Updated: Jul 2, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

537
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K
Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.2K

Area of Science:

  • Electrical Engineering
  • Computer Vision
  • Artificial Intelligence

Background:

  • Transmission line insulator inspection is crucial for grid stability.
  • Unmanned aerial vehicle (UAV) inspections face challenges from complex weather, leading to low-quality images and data limitations.
  • Traditional defect detection methods struggle with accuracy, causing missed or false detections.

Purpose of the Study:

  • To develop an effective method for insulator defect detection across diverse weather conditions.
  • To address challenges of small, inconsistent shapes and varying image quality in insulator datasets.
  • To improve the accuracy and reliability of automated insulator defect detection systems.

Main Methods:

  • A novel weather domain synthesis (WDSt) module was designed to standardize images across different weather domains, reducing the domain gap.
  • The Cross-modality Information Attention YOLO (CIA-YOLO) model was developed, incorporating attention mechanisms for enhanced defect detection.
  • Shallow and deep feature maps were fused with an additional object detection layer to improve the detection of small targets.

Main Results:

  • The proposed CIA-YOLO model combined with weather domain synthesis demonstrated superior performance on the multi-domain insulator dataset (MD-Insulator).
  • The method effectively improved detection accuracy for insulators under various challenging weather conditions.
  • The approach showed significant potential in reducing the modality gap in multi-domain insulator datasets.

Conclusions:

  • The developed weather domain synthesis network and CIA-YOLO model offer a robust solution for insulator defect detection.
  • This research provides a new perspective on utilizing weather-domain transfer to bridge modality gaps in computer vision tasks.
  • The findings encourage further research into advanced AI techniques for infrastructure inspection and maintenance.