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相关概念视频

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

645
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
645
Bearing Stress01:22

Bearing Stress

763
Bearing stress refers to the contact pressure between two separate bodies. To visualize this, imagine a bolt thrust through a plate. The bolt applies a force to the plate, which exerts an equal but opposite force back onto the bolt. This force isn't just a singular entity but a compilation of numerous smaller forces distributed across the contact surface between the bolt and the plate.
Due to the intricacy of these microforces, an average value, known as bearing stress, is often used by...
763
Stresses in a Shaft01:18

Stresses in a Shaft

355
The shaft PQ is subjected to a twisting force when equal and opposite torques are applied on either side. A section that cuts perpendicular to the shaft's axis at any arbitrary point R is examined to understand this. When the free-body diagram of the QR segment is analyzed, it reveals the shearing forces exerted by the PR portion onto the QR segment as the shaft experiences twisting.
Applying equilibrium conditions to the QR segment establishes that the internal shearing forces within the...
355
Bearings: Problem Solving01:24

Bearings: Problem Solving

278
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...
278
Residual Stresses in Circular Shafts01:10

Residual Stresses in Circular Shafts

165
In materials that exhibit elastic and plastic behavior, known as elastoplastic materials, residual stresses can accumulate when these materials experience plastic deformation. This deformation arises from either high levels of shearing stress or significant strains. Residual stresses are internal stresses that persist within a material after removing the external force causing deformation. This phenomenon is demonstrated when observing the behavior of a shaft under torque; notably, the...
165
Simple Harmonic Motion01:21

Simple Harmonic Motion

9.4K
Simple harmonic motion is the name given to oscillatory motion for a system where the net force can be described by Hooke's law. If the net force can be described by Hooke's law and there is no damping (by friction or other non-conservative forces), then a simple harmonic oscillator will oscillate with equal displacement on either side of the equilibrium position. To derive an equation for period and frequency, the equation of motion is used. The period of a simple harmonic oscillator...
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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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使用Tiny ML通过振动分析进行轴承故障检测的低成本原型.

Andres Felipe Cotrino Herrera1, Jesús Alfonso López Sotelo1, Juan Carlos Blandón Andrade2

  • 1School of Engineering and Basic Sciences, Universidad Autónoma de Occidente, Cali, Colombia.

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此摘要是机器生成的。

本研究介绍了一种低成本的开源设备,通过分析轴承振动来学习嵌入式系统中的人工智能 (AI). 它使学生能够对有缺陷的轴承进行分类,增强STEM技能,并促进TinyML应用.

关键词:
人工智能的人工智能是人工智能.机器学习是机器学习.教学战略的教学策略.对振动进行分析.

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科学领域:

  • 工程教育 工程教育教育
  • 嵌入式系统 嵌入式系统
  • 人工智能的人工智能

背景情况:

  • 传统的工程教育往往缺乏与工业挑战的实践经验.
  • 集成振动分析和人工智能等实际应用对于现代STEM学习至关重要.
  • 人工智能 (AI) 和微型机器学习 (TinyML) 等复杂技术的教学需要易于使用,低成本的工具越来越多.

研究的目的:

  • 展示一个低成本的,开源的设备,用于学习嵌入式系统中的AI,使用振动分析.
  • 通过整合工业挑战和实际的人工智能应用来增强STEM教育.
  • 通过实践原型,使学生能够使用人工智能对轴承缺陷进行分类.

主要方法:

  • 该研究详细介绍了整合电子,机械和软件组件的设备的设计和建造.
  • 从轴承收集和分析振动数据.
  • 人工智能 (AI) 模型在设备上开发和实施,用于缺陷分类.

主要成果:

  • 开发的设备通过振动分析成功地促进了嵌入式系统中AI的学习.
  • 该原型允许使用人工智能对有缺陷的轴承进行分类.
  • 该项目提供了一个可复制的模型,用于将工业挑战纳入教育环境.

结论:

  • 该设备促进STEM技能,并促进AI和TinyML在现实世界的应用.
  • 它通过鼓励跨学科学习和实践实验来丰富教育计划.
  • 该项目的开源性质允许在工程教育中广泛采用和进一步开发.