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

Bearings: Problem Solving01:24

Bearings: Problem Solving

285
Understanding the calculations and concepts related to double-collar bearings is essential for engineers and designers to optimize the performance of these components in various applications. By analyzing the bearing under different conditions, one can ensure that it can withstand the forces and moments experienced during operation. This knowledge enables better decision-making when designing and selecting bearings for specific purposes and configurations. Consider a double-collar bearing with...
285
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

343
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
343
Rolling Resistance01:21

Rolling Resistance

295
When a solid cylinder rolls steadily on a rigid surface, the normal force applied by the surface on the cylinder is perpendicular to the tangent at the contact point. However, since no materials are entirely rigid, the surface's reaction to the cylinder involves a range of normal pressures.
For instance, imagine a hard cylinder rolling on a comparatively soft surface. The cylinder's weight compresses the surface beneath it. As the cylinder moves, the material in front of it slows down...
295
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

103
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
103
Rolling Without Slipping01:09

Rolling Without Slipping

3.6K
People have observed the rolling motion without slipping ever since the invention of the wheel. For example, one can look at the interaction between a car's tires and the surface of the road. If the driver presses the accelerator to the floor so that the tires spin without the car moving forward, there must be kinetic friction between the wheels and the road's surface. If the driver slowly presses the accelerator, causing the car to move forward, the tires roll without slipping. It is...
3.6K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

647
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
647

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

ACCYolo: Transmission equipment inspection image detection method based on multi-scale and occluded targets.

PloS one·2025
Same author

Few-shot bearing fault detection based on multi-dimensional convolution and attention mechanism.

Mathematical biosciences and engineering : MBE·2024
Same author

A surface defect detection method for steel pipe based on improved YOLO.

Mathematical biosciences and engineering : MBE·2024
Same author

Optimizing Robotic Task Sequencing and Trajectory Planning on the Basis of Deep Reinforcement Learning.

Biomimetics (Basel, Switzerland)·2024
Same author

EEG-Based Mental Workload Classification Method Based on Hybrid Deep Learning Model Under IoT.

IEEE journal of biomedical and health informatics·2023
Same author

Model pruning based on filter similarity for edge device deployment.

Frontiers in neurorobotics·2023

相关实验视频

Updated: Jul 9, 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

1.7K

基于优化算法融合卷积神经网络的滚动轴承的智能故障诊断算法.

Qiushi Wang1,2, Zhicheng Sun1,2, Yueming Zhu1,2

  • 1Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China.

Mathematical biosciences and engineering : MBE
|December 5, 2023
PubMed
概括

这项研究引入了用于滚动轴承的先进故障诊断方法,使用具有注意力机制和优化超参数的1D-CNN. 这种新的方法提高了机械设备的诊断准确度和特征表示.

关键词:
1DCNNN 1DCNN 在线播放德格沃 (DE-GWO) 是一个词.注意力机制注意力机制错误诊断 错误诊断 错误诊断 是一个问题.滚动轴承 滚动轴承 滚动轴承

更多相关视频

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

1.1K
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

1.9K

相关实验视频

Last Updated: Jul 9, 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

1.7K
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

1.1K
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

1.9K

科学领域:

  • 机械工程 机械工程
  • 人工智能的人工智能
  • 信号处理 信号处理

背景情况:

  • 滚动轴承的故障威胁到机械设备的运行,并造成财务损失.
  • 传统的卷积神经网络 (CNN) 在特征表示和错误诊断的超参数确定方面存在局限性.

研究的目的:

  • 为滚动轴承提出一个改进的故障诊断方法.
  • 为了提高诊断准确度和特征表示能力的CNNs.
  • 为了高效地优化CNN的超参数.

主要方法:

  • 一个注意力机制与1D-CNN集成,以改善故障特征表示.
  • 一个结合差异进化 (DE) 和灰狼优化 (GWO) 的群集智能算法被开发用于超参数优化.
  • 应用DE-GWO-CNN模型用于滚动轴承故障诊断,使用CWRU和JNU数据集.

主要成果:

  • 与传统模型相比,提出的DE-GWO-CNN方法显示了诊断准确度的提高.
  • 增强型号显示出优越的抗噪声能力.
  • 优化算法提高了对汇率的准确性和搜索效率.

结论:

  • DE-GWO-CNN算法是用于滚动轴承故障诊断的可靠和有效方法.
  • 该方法准确地识别和分类故障,有助于及时维护.
  • 这种方法有助于最大限度地减少设备故障和操作不稳定.