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相关概念视频

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

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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...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
406
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
490
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
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
469
Rolling Resistance01:21

Rolling Resistance

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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...
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Updated: Jul 9, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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关于使用1D-CNN识别轮子成员状况的研究

Jin-Han Lee1, Jun-Hee Lee2, Chang-Jae Lee1

  • 1Busan Transportation Corporation, Busan 47353, Republic of Korea.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了轻轨轮胎的实时轮胎磨损分类系统. 该系统实现了99.4%的准确性,提高了铁路安全,降低了运营成本.

关键词:
深度学习是一种深度学习.机器学习是机器学习.识别条件的算法识别条件的算法.轮胎 轮胎 轮胎 轮胎 轮胎轮子轮子轮子轮子轮子

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科学领域:

  • 铁路工程 铁路工程是指铁路工程.
  • 状态监控 状态监控
  • 机器学习 机器学习

背景情况:

  • 目前的铁路车轮检查依赖于手动,定期检查,缺少早期缺陷检测.
  • 这种反应式方法可能会导致运营中断,安全隐患和维护成本增加.
  • 预测性维护战略对于提高铁路安全和效率至关重要.

研究的目的:

  • 为轻轨轮胎开发一个实时轮胎磨损分类系统.
  • 提高铁路车辆轮状况的预测性维护能力.
  • 为了降低运营成本,提高安全性,防止服务延误.

主要方法:

  • 从轻轨车辆收集的运行数据 (温度,压力,加速度).
  • 处理和分析传感器数据以生成一个全面的训练数据集.
  • 使用1D卷积神经网络 (1D-CNN) 模型进行轮胎状况分类.

主要成果:

  • 1D-CNN模型实现了高度准确的轮胎磨损分类率.
  • 在分类轮胎状况方面表现出了99.4%的准确性,表现出了卓越的性能.
  • 该系统可以实时监测和预测轮胎磨损.

结论:

  • 拟议的实时分类系统有效预测铁路轮胎磨损.
  • 这种预测方法显著提高了运营安全,并减少了与维护有关的延误.
  • 该技术为主动的铁路轮状况管理提供了可行的解决方案.