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

Echo01:06

Echo

722
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
722
Velocity and Acceleration of a Wave00:51

Velocity and Acceleration of a Wave

4.5K
A wave propagates through a medium with a constant speed, known as a wave velocity. It is different from the speed of the particles of the medium, which is not constant. In addition, the velocity of the medium is perpendicular to the velocity of the wave. The variable speed of the particles of the medium implies that there must be acceleration associated with it. 
The velocity of the particles can be obtained by taking the partial derivative of the position equation with respect to time....
4.5K
Deriving the Speed of Sound in a Liquid01:09

Deriving the Speed of Sound in a Liquid

776
As with waves on a string, the speed of sound or a mechanical wave in a fluid depends on the fluid's elastic modulus and inertia. The two relevant physical quantities are the bulk modulus and the density of the material. Indeed, it turns out that the relationship between speed and the bulk modulus and density in fluids is the same as that between the speed and the Young's modulus and density in solids.
The speed of sound in fluids can be derived by considering a mechanical wave...
776
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

264
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
264
Sound as Pressure Waves01:17

Sound as Pressure Waves

2.8K
Sound waves, which are longitudinal waves, can be modeled as the displacement amplitude varying as a function of the spatial and temporal coordinates. As a column of the medium is displaced, its successive columns are also displaced. As the successive displacements differ relatively, a pressure difference with the surrounding pressure is created. The gauge pressure varies across the medium.
The pressure fluctuation depends on the difference in displacements between the successive points in the...
2.8K
Standing Waves in a Cavity01:28

Standing Waves in a Cavity

1.2K
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:
1.2K

You might also read

Related Articles

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

Sort by
Same author

Optimization of Sensor Network for Velocity-Free Acoustic Emission Source Localization in Construction Materials.

Materials (Basel, Switzerland)·2026
Same author

Velocity-Free Acoustic Emission Source Localization for Complex Structures Using Any-Angle Pathfinding Algorithm.

Sensors (Basel, Switzerland)·2026
Same author

Enhanced pollutant removal in multi-pollutants contaminated water by bioaugmented slow filtration.

Journal of hazardous materials·2026
Same author

Amelioration of psoriasis-like skin lesions by human amniotic mesenchymal stem cells: insights from multiomics profiling in mice.

Frontiers in immunology·2026
Same author

Multi-level signal-vehicle cooperative control to improve safety and efficiency for arterial intersections in mixed-autonomy traffic.

Accident; analysis and prevention·2026
Same author

Valorization of phosphogypsum and silica fume in sustainable cementitious materials: Multi-objective optimization and mechanistic insights.

Journal of environmental management·2026

Related Experiment Video

Updated: Nov 21, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

3.4K

A New Algebraic Solution for Acoustic Emission Source Localization without Premeasuring Wave Velocity.

Zilong Zhou1, Riyan Lan1, Yichao Rui1

  • 1School of Resources and Safety Engineering, Central South University, Changsha 410083, China.

Sensors (Basel, Switzerland)
|January 14, 2021
PubMed
Summary

This study introduces a novel acoustic emission (AE) source localization method that eliminates the need for pre-measured wave velocity, improving accuracy by over 40% for hazard prediction.

Keywords:
acoustic emission (AE)algebraic solutionsource localizationsum of squared residualstime-difference-of-arrival (TDOA)wave velocity

More Related Videos

Ultrasound Velocity Measurement in a Liquid Metal Electrode
08:41

Ultrasound Velocity Measurement in a Liquid Metal Electrode

Published on: August 5, 2015

12.0K
Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces
10:21

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Published on: July 26, 2016

11.9K

Related Experiment Videos

Last Updated: Nov 21, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

3.4K
Ultrasound Velocity Measurement in a Liquid Metal Electrode
08:41

Ultrasound Velocity Measurement in a Liquid Metal Electrode

Published on: August 5, 2015

12.0K
Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces
10:21

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Published on: July 26, 2016

11.9K

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Signal Processing

Background:

  • Acoustic emission (AE) source localization is vital for material failure analysis and hazard prediction.
  • Existing methods often rely on pre-measured wave velocity, limiting their use in dynamic environments.

Purpose of the Study:

  • To develop a new algebraic solution for AE source localization that does not require pre-measuring wave velocity.
  • To enhance location accuracy in complex engineering scenarios with variable wave velocities.

Main Methods:

  • Established nonlinear time difference of arrival (TDOA) equations and linearized them using two intermediate variables.
  • Employed a least squares approach to minimize residuals for optimal AE source coordinate determination.

Main Results:

  • The proposed method demonstrated improved positioning accuracy by over 40% compared to existing techniques.
  • Achieved a minimum positioning accuracy of 1.12 mm in experimental validation.
  • Simulation tests confirmed robust performance under varying TDOA errors and sensor counts.

Conclusions:

  • The new algebraic solution effectively addresses the limitations of velocity-dependent AE localization.
  • Offers a more accurate and reliable approach for AE source localization in practical engineering applications.