Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

215
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...
215
Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

Design Example: Calculating Safe Diameter for Wind-Exposed Disc

178
Assessing safety in wind-exposed installations is crucial to preventing potential failures. This example explores the calculation and design adjustments needed to mount a circular disc on a building facade, where wind forces are a primary concern. A 4-meter diameter disc was initially designed as an aesthetic feature facing winds at a velocity of 25 meters per second, with an air density of 1.25 kilograms per cubic meter. Given these conditions, the drag force on the disc was determined using...
178

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Capacity optimization configuration and multi-dimensional value evaluation of integrated energy system with power-to-hydrogen.

PloS one·2025
Same author

A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process.

Sensors (Basel, Switzerland)·2024
Same author

Short-term power load forecasting method based on Bagging-stochastic configuration networks.

PloS one·2024
Same author

Whole brain radiotherapy-based combined modality treatment of brain metastases from non-small cell lung cancer: a retrospective analysis of prognostic factors.

Oncology research and treatment·2015
Same author

The importance of GLP-1 and PYY in resistant starch's effect on body fat in mice.

Molecular nutrition & food research·2015
Same author

The role of fast-track surgery in pancreaticoduodenectomy: a retrospective cohort study of 635 consecutive resections.

International journal of surgery (London, England)·2015

相关实验视频

Updated: Sep 13, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.8K

基于大视野模型转移学习的风力轮机叶片缺陷识别方法.

Xin Li1, Jinghe Tian1, Xinfu Pang1

  • 1Key Laboratory of Energy Saving and Controlling in Power System of Liaoning Province, Shenyang Institute of Engineering, Shenyang 110136, China.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了用于检测风力轮机叶片缺陷的先进框架,达到97.8%的准确性. 新方法通过更快,更可靠的缺陷识别,提高风电场的安全性和维护效率.

关键词:
这就是DINOv2的意义.随机配置网络网络 随机配置网络在 YOLOv5 网络中,YOLOv5 网络的检测缺陷检测检测缺陷检测的方法风叶片 风叶片 风叶片

更多相关视频

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

2.0K
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

1.3K

相关实验视频

Last Updated: Sep 13, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.8K
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

2.0K
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

1.3K

科学领域:

  • 可再生能源工程可再生能源工程
  • 人工智能的人工智能
  • 计算机视觉 计算机视觉

背景情况:

  • 风力轮机叶片表面缺陷对运行安全和维护效率构成风险.
  • 现有的缺陷检测方法在一般化,背景噪音和实时性能方面扎.

研究的目的:

  • 开发一个端到端的框架,用于准确和高效的风力轮机叶片缺陷识别.
  • 克服当前方法在概括,背景干扰和实时处理方面的局限性.

主要方法:

  • 一个三阶段的框架:叶片定位 (YOLOv5),特征提取 (DINOv2) 和缺陷分类 (随机配置网络 - SCN).
  • 利用DINOv2进行强大的特征表示,在复杂的纹理上优于传统的卷积神经网络 (CNN) 方法.

主要成果:

  • 在缺陷检测方面实现了97.8%的分类准确度.
  • 每张图像的平均推断时间为19.65毫秒,满足实时要求.

结论:

  • 拟议的框架为智能风力轮机叶片检查和维护提供了可扩展,准确和高效的解决方案.
  • 整合DINOv2显著提高了缺陷识别能力,特别是在复杂的表面.