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

The endoplasmic reticulum is a target organelle for trivalent dimethylarsinic acid (DMAIII)-induced cytotoxicity.

Toxicology and applied pharmacology·2012
Same author

(E)-1-{4-[Bis(4-bromo-phen-yl)meth-yl]piperazin-1-yl}-3-(4-eth-oxy-phen-yl)prop-2-en-1-one.

Acta crystallographica. Section E, Structure reports online·2012
Same author

(E)-1-{4-[Bis(4-bromo-phen-yl)meth-yl]piperazin-1-yl}-3-(4-methyl-phen-yl)prop-2-en-1-one.

Acta crystallographica. Section E, Structure reports online·2012
Same author

(E)-3-(1,3-Benzodioxol-5-yl)-1-{4-[bis-(4-meth-oxy-phen-yl)meth-yl]piperazin-1-yl}prop-2-en-1-one.

Acta crystallographica. Section E, Structure reports online·2012
Same author

Economic evaluation of first-line treatments for metastatic renal cell carcinoma: a cost-effectiveness analysis in a health resource-limited setting.

PloS one·2012
Same author

Metabolism studies of casticin in rats using HPLC-ESI-MS(n).

Biomedical chromatography : BMC·2012
Same journal

Theoretical Foundations of the Echo Envelope Statistical Modeling: A Tutorial.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Practical Demonstrations of FR3-Band Thin-Film Lithium Niobate Acoustic Filter Design.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Real-Time Heterogeneous Helical Wave Spectrum Method for Transabdominal Passive Acoustic Mapping.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Cascaded Plane Wave Ultrasound Velocity Vector Imaging: In Vivo Feasibility in Carotid Arteries.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Quantitative Acoustic Attenuation Scanning Using a Phase-Insensitive Ultrasound Computed Tomography System.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

FPGA-Accelerated CNN Reconstruction for Low-Power Sparse-Array Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
See all related articles

Related Experiment Video

Updated: Nov 17, 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

11.4K

Evolutionary Strategy-Based Location Algorithm for High-Resolution Lamb Wave Defect Detection With Sparse Array.

Honglei Chen, Zenghua Liu, Yu Gong

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |February 18, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an optimized intelligent algorithm for defect location using Lamb waves, achieving higher resolution and speed in structural health monitoring. The enhanced method improves accuracy by analyzing individual distributions and fuzzy control parameters for robust detection.

    More Related Videos

    Picometer-Precision Atomic Position Tracking through Electron Microscopy
    15:04

    Picometer-Precision Atomic Position Tracking through Electron Microscopy

    Published on: July 3, 2021

    7.9K
    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
    11:54

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

    Published on: March 13, 2017

    9.6K

    Related Experiment Videos

    Last Updated: Nov 17, 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

    11.4K
    Picometer-Precision Atomic Position Tracking through Electron Microscopy
    15:04

    Picometer-Precision Atomic Position Tracking through Electron Microscopy

    Published on: July 3, 2021

    7.9K
    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
    11:54

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

    Published on: March 13, 2017

    9.6K

    Area of Science:

    • Materials Science
    • Mechanical Engineering
    • Signal Processing

    Background:

    • Lamb waves are crucial for nondestructive testing (NDT) and structural health monitoring (SHM) in large structures.
    • Classical defect location algorithms face limitations in resolution due to interfering components.
    • Previous intelligent algorithms showed efficiency but still had resolution issues.

    Purpose of the Study:

    • To develop an optimized intelligent algorithm for efficient and high-resolution defect location using Lamb waves.
    • To address the limitations of existing algorithms in terms of detection resolution and speed.
    • To improve the robustness and accuracy of defect detection in structures.

    Main Methods:

    • An optimized intelligent defect location algorithm utilizing Lamb waves and a sparse transducer array was developed.
    • The algorithm analyzes the distribution of individuals and incorporates fuzzy control parameters.
    • K-means algorithm was used for adaptive updating of individuals, and parameter influence was analyzed.

    Main Results:

    • The proposed algorithm achieves significantly higher location resolution compared to the elliptic imaging algorithm.
    • The intelligent algorithm demonstrates a substantial speed improvement, executing approximately 65 times faster.
    • Robustness was ensured by a combined analysis of individuals, mitigating the influence of fuzzy control parameters.

    Conclusions:

    • The optimized intelligent algorithm offers a superior solution for defect location in NDT and SHM applications.
    • This method provides a faster and more accurate alternative to traditional imaging techniques.
    • The algorithm's efficiency and high resolution are beneficial for monitoring large structures.