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

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

609
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
609
Turbine-Governor Control01:17

Turbine-Governor Control

986
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
986
Three-Winding Transformers01:19

Three-Winding Transformers

722
Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
722
pH Scale02:41

pH Scale

80.0K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
80.0K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

424
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...
424
Lumber Defects01:23

Lumber Defects

529
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
529

You might also read

Related Articles

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

Sort by
Same author

SwinLightGAN a study of low-light image enhancement algorithms using depth residuals and transformer techniques.

Scientific reports·2025
Same author

Discovery of fruquintinib, a potent and highly selective small molecule inhibitor of VEGFR 1, 2, 3 tyrosine kinases for cancer therapy.

Cancer biology & therapy·2014
Same author

Enhancing the accuracy of knowledge discovery: a supervised learning method.

BMC bioinformatics·2014
Same author

Toxicokinetics and tissue distribution of prothioconazole in male adult Sprague-Dawley rats following a single oral administration.

Xenobiotica; the fate of foreign compounds in biological systems·2014
Same author

Anticancer agents from marine sponges.

Journal of Asian natural products research·2014
Same author

Adhesive polydopamine coated avermectin microcapsules for prolonging foliar pesticide retention.

ACS applied materials & interfaces·2014
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology
12:29

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Published on: May 3, 2017

11.1K

Multi-scale defect detection technology for wind turbine blade surfaces based on the SASED-YOLO algorithm.

Feiyang Lv1,2, Rugang Wang3,4, Yuanyuan Wang1,2

  • 1School of Information Engineering, Yancheng Institute of Technology, Yancheng, 224051, Jiangsu, China.

Scientific Reports
|February 5, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for detecting wind turbine blade defects, improving accuracy by integrating attention mechanisms and multi-scale pooling. The SASED-YOLO model enhances feature extraction for better defect identification.

Keywords:
Attention mechanismDefect detectionMulti-scale feature space poolingWind turbine bladeYOLOv8s

More Related Videos

Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens
08:49

Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens

Published on: June 6, 2020

15.4K
Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

10.5K

Related Experiment Videos

Last Updated: Feb 7, 2026

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology
12:29

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Published on: May 3, 2017

11.1K
Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens
08:49

Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens

Published on: June 6, 2020

15.4K
Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

10.5K

Area of Science:

  • Engineering
  • Computer Science
  • Artificial Intelligence

Background:

  • Wind turbine blade defects pose challenges for detection due to blurred textures and scale variations.
  • Accurate defect identification is crucial for wind turbine maintenance and operational efficiency.

Purpose of the Study:

  • To propose an advanced algorithm, SASED-YOLO, for enhanced wind turbine blade defect detection.
  • To improve the extraction of fine-grained features and the accuracy of defect positioning.

Main Methods:

  • Integration of a collaborative attention mechanism (CADP-SCSA) for improved feature extraction and localization.
  • Implementation of a multi-scale feature space pooling module (SPPSCCAP) for processing fine-grained, multi-scale defect features.
  • Utilization of C2f-SENetv2 and an adaptive slice convolution module (FADown) to enhance feature representation and reduce information loss.

Main Results:

  • The SASED-YOLO algorithm achieved a mean average precision (mAP) of 87.7% on the WTBD818-DET dataset.
  • Demonstrated a 10.5% improvement in mAP compared to YOLOv8s.
  • Outperformed other leading detection algorithms including RT-DETR, YOLOv11s, and Mamba.

Conclusions:

  • The proposed SASED-YOLO algorithm effectively addresses challenges in wind turbine blade defect detection.
  • The integration of attention mechanisms and multi-scale pooling significantly enhances detection performance.
  • The algorithm shows high efficacy in identifying multi-scale defects on wind turbine blades.