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相关概念视频

Run Charts01:12

Run Charts

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Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
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Interpreting Run Charts01:25

Interpreting Run Charts

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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
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Transmission Shafts: Problem Solving01:09

Transmission Shafts: Problem Solving

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Designing a solid shaft that transmits power from a motor to a machine tool involves a series of calculations to ensure the shaft can withstand the stresses applied by bending moments and torques. First, calculate the torque exerted on the gear, considering the power transmitted by the shaft and its rotational speed. Following this, compute the tangential forces acting on the gears, which directly relate to the torque and the gear radius.
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Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Turbine-Governor Control01:17

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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...
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相关实验视频

Updated: Jun 15, 2025

Surrogate Model Development for Digital Experiments in Welding
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基于动态自适应EWMA控制图的机床制造工艺碳排放警告方法.

Zhenan Song1, Dan Liu1, Hongyu Sha1

  • 1Shenyang University of Technology, Tiexi District, No.111, Shenliao West Road, Shenyang, China.

Environmental science and pollution research international
|August 22, 2024
PubMed
概括

本研究引入了一种新的自适应动态EWMA方法,用于机床制造业的早期碳排放警告. 它提高了监测准确性和响应性,以实现可持续的工业增长.

关键词:
适应性的动态EWMA控制图.碳排放警告警告 碳排放警告这就是HHO算法.机床制造工艺 机床制造工艺的制造过程

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科学领域:

  • 工业工程 工业工程 工业工程
  • 环境科学 环境科学
  • 制造业 制造技术 制造技术

背景情况:

  • 机床是具有重大碳足迹的关键工业设备.
  • 制造业碳排放的有效管理对于可持续性至关重要.
  • 现有的方法在监测异常碳排放方面存在不确定性.

研究的目的:

  • 开发一种用于机床制造业早期碳排放预警的新方法.
  • 应对识别和监测异常碳排放的挑战.
  • 促进机床行业的环保意识的增长.

主要方法:

  • 开发了一个自适应动态指数加权移动平均 (EWMA) 控制图.
  • 动态采样和适应性原则被用于增强监测.
  • 一个增强的哈里斯·霍克斯优化 (HHO) 算法用于多目标优化.

主要成果:

  • 提出的方法证明了对异常碳排放的快速反应.
  • 适应性动态EWMA图表有效地识别和提醒了排放异常.
  • 对五轴机床的案例研究验证了该方法的有效性.

结论:

  • 这种基于EWMA的新方法为实时碳排放监测提供了一个可行的策略.
  • 这种方法支持机床制造业的高质量和可持续发展.
  • 该研究证实了拟议的早期预警系统的可行性和有效性.