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

Standing Waves in a Cavity01:28

Standing Waves in a Cavity

1.3K
A household microwave and lasers are examples of standing electromagnetic waves in a cavity. When two conducting metal plates are placed parallel at the nodal planes, it creates a cavity where standing waves are formed. The cavity between the two planes is analogous to a stretched string held at the points x = 0 and x = L. Here, the distance 'L' between the two planes must be an integer multiple of half of the wavelength. The wavelengths that satisfy this condition are given by:
1.3K
Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

425
The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx  and a shunt capacitance CΔx.
425
Propagation of Waves01:07

Propagation of Waves

2.8K
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
2.8K
Induced Electric Fields: Applications01:27

Induced Electric Fields: Applications

2.4K
An important distinction exists between the electric field induced by a changing magnetic field and the electrostatic field produced by a fixed charge distribution. Specifically, the induced electric field is nonconservative because it does not work in moving a charge over a closed path. In contrast, the electrostatic field is conservative and does no net work over a closed path. Hence, electric potential can be associated with the electrostatic field but not the induced field. The following...
2.4K
Standing Electromagnetic Waves01:15

Standing Electromagnetic Waves

2.1K
Electromagnetic waves can be reflected; the surface of a conductor or a dielectric can act as a reflector. As electric and magnetic fields obey the superposition principle, so do electromagnetic waves. The superposition of an incident wave and a reflected electromagnetic wave produces a standing wave analogous to the standing waves created on a stretched string.
Suppose a sheet of a perfect conductor is placed in the yz-plane, and a linearly polarized electromagnetic wave traveling in the...
2.1K
Electromagnetic Waves01:30

Electromagnetic Waves

10.6K
James Clerk Maxwell formulated a single theory combining all the electric and magnetic effects scientists knew during that time, calling the phenomena his theory predicted “Electromagnetic waves”. He brought together all the work that had been done by brilliant physicists such as Oersted, Coulomb, Gauss, and Faraday and added his own insights to develop the overarching theory of electromagnetism. Maxwell’s equations, combined with the Lorentz force law, encompass all the laws...
10.6K

You might also read

Related Articles

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

Sort by
Same author

Segmental range of motion of vertebral body tethering: an in-vitro analysis of single-tether, double-tether, and hybrid constructs.

Journal of orthopaedic surgery and research·2025
Same author

The Cellulose Loading and Silylation Effects on the Mechanical Properties of Epoxy Composites: Insights from Classical and Reactive Molecular Dynamics Simulations.

Polymers·2025
Same author

Criticality in the fracture of silica glass: Insights from molecular mechanics.

Physical review. E·2024
Same author

Tether pre-tension within vertebral body tethering reduces motion of the spine and influences coupled motion: a finite element analysis.

Computers in biology and medicine·2023
Same author

Prediction of Temperature and Loading History Dependent Lumbar Spine Biomechanics Under Cyclic Loading Using Recurrent Neural Networks.

Annals of biomedical engineering·2023
Same author

Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation.

Computer methods and programs in biomedicine·2022

Related Experiment Video

Updated: Dec 20, 2025

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
06:51

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

Published on: August 21, 2018

7.3K

Active source localization in wave guides based on machine learning.

Daniel Frank Hesser1, Georg Karl Kocur1, Bernd Markert1

  • 1Institute of General Mechanics, RWTH Aachen University, Templergraben 64, 52062 Aachen, Germany.

Ultrasonics
|May 27, 2020
PubMed
Summary
This summary is machine-generated.

This study presents an active source localization method using machine learning to pinpoint impact events on an aluminum plate. The approach accurately predicts impact locations based on elastic wave data from piezoelectric sensors.

Keywords:
Artificial neural networkComputational intelligenceGuided elastic wavesImpact dynamicsStructural health monitoring

More Related Videos

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
05:11

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

509
Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.2K

Related Experiment Videos

Last Updated: Dec 20, 2025

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
06:51

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

Published on: August 21, 2018

7.3K
High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
05:11

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

509
Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.2K

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Signal Processing

Background:

  • Active sources, like cracks or friction, can be present in waveguides.
  • Impact events generate elastic waves that propagate through materials.
  • Accurate localization of these sources is crucial for structural health monitoring.

Purpose of the Study:

  • To propose an active source localization strategy for impact events.
  • To investigate the use of elastic wave propagation for source identification.
  • To develop a precise method for determining impact positions on an aluminum plate.

Main Methods:

  • Simulating elastic wave propagation using finite element analysis.
  • Acquiring wave responses with a piezoelectric sensor network.
  • Training artificial neural networks (ANN) and support vector machines (SVM) with simulated data.

Main Results:

  • Machine learning algorithms accurately predicted impact positions using simulated data.
  • The trained algorithms showed good agreement when applied to experimental data.
  • Piezoelectric transducer wave responses contain sufficient information for precise localization.

Conclusions:

  • The proposed active source localization strategy is effective.
  • Machine learning models trained on numerical data can successfully localize experimental impact events.
  • Elastic wave analysis using sensor networks offers a precise method for impact localization.