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

Fault Types01:18

Fault Types

422
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...
422
Nuclear Fusion02:45

Nuclear Fusion

33.8K
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
33.8K
Machines01:19

Machines

573
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
573
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

401
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
401
Self-Help Support Groups01:28

Self-Help Support Groups

336
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
336
Machines: Problem Solving II01:30

Machines: Problem Solving II

661
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
661

You might also read

Related Articles

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

Sort by
Same author

Development of online classification system for construction waste based on industrial camera and hyperspectral camera.

PloS one·2019
Same author

Detection of size of manufactured sand particles based on digital image processing.

PloS one·2018
Same author

Effective biodegradation of nitrate, Cr(VI) and p-fluoronitrobenzene by a novel three dimensional bioelectrochemical system.

Bioresource technology·2016
Same author

Genome sequencing and analysis of a granulovirus isolated from the Asiatic rice leafroller, Cnaphalocrocis medinalis.

Virologica Sinica·2015
Same author

Risk factors for colorectal cancer in man induce aberrant crypt foci in rats: Preliminary findings.

Nutrition and cancer·2015
Same author

Palladium-Catalyzed Arylboration of Bicyclic Alkenes.

The Journal of organic chemistry·2015

Related Experiment Video

Updated: Jan 28, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.6K

An arc fault diagnosis algorithm using multiinformation fusion and support vector machines.

Jian-Hong Yang1, Huai-Ying Fang1, Ren-Cheng Zhang1

  • 1Key Laboratory of Process Monitoring and System Optimization for Mechanical and Electrical Equipment (Huaqiao University), Fujian Province University, Xiamen, Fujian 361021, People's Republic of China.

Royal Society Open Science
|March 7, 2019
PubMed
Summary

This study presents a novel arc fault detection algorithm for low-voltage circuits. The method accurately identifies series and parallel arc faults, enhancing electrical fire safety.

Keywords:
arc faulthigh-frequency radiation characteristicsmultiinformation fusionperiodic integration characteristicsslope characteristics

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.6K

Related Experiment Videos

Last Updated: Jan 28, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.6K

Area of Science:

  • Electrical Engineering
  • Fire Safety Science
  • Signal Processing

Background:

  • Arc faults in low-voltage circuits are a primary, often hidden, cause of electrical fires.
  • Accurate detection of arc faults is critical for ensuring safe electricity usage and preventing fires.

Purpose of the Study:

  • To develop and test an advanced algorithm for detecting arc faults in low-voltage electrical circuits.
  • To improve the reliability and accuracy of arc fault identification, mitigating risks of electrical fires.

Main Methods:

  • Utilized capacitance coupling and a logarithmic detector to extract high-frequency radiation characteristics of arc faults.
  • Developed a rapid method to compute current waveform slope characteristics and extract periodic integral characteristics based on arc fault asymmetries.
  • Integrated these features into a multi-information fusion approach using support vector machine (SVM) learning models for detection.

Main Results:

  • The developed algorithm effectively identified both series arc faults (with various loads) and parallel arc faults (across different contact types and carbonization paths).
  • The method demonstrated robustness against crosstalk and signal loss, common challenges in arc fault detection.
  • Achieved accurate recognition across diverse arc fault scenarios.

Conclusions:

  • The proposed multi-information fusion algorithm based on SVM provides a reliable and effective solution for arc fault detection in low-voltage circuits.
  • This advancement contributes significantly to enhancing electrical safety and preventing fires caused by arc faults.
  • The algorithm's ability to overcome signal interference ensures dependable performance in real-world applications.