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相关概念视频

Multimachine Stability01:25

Multimachine Stability

198
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
198
Machines: Problem Solving II01:30

Machines: Problem Solving II

336
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
336
Transmission Shafts: Problem Solving01:09

Transmission Shafts: Problem Solving

267
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.
Next, use bending moment diagrams for the shaft to...
267
Machines: Problem Solving I01:22

Machines: Problem Solving I

360
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
360
Reinforcement Schedules01:24

Reinforcement Schedules

212
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
212
Design of Transmission Shafts - Stress Analysis01:15

Design of Transmission Shafts - Stress Analysis

408
Designing a transmission shaft requires a thorough understanding of the stresses induced by bending moments and torques, especially in systems where power is transferred through gears. These forces create force-couple systems at the centers of the shaft's cross-sections, leading to both transverse and torsional loading. Although shearing stresses from transverse loads are typically smaller than those from torques and are often overlooked, the significant normal stresses from these loads...
408

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相关实验视频

Updated: Jul 25, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

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列车维修人员班次安排:个案研究

Muhammed Abdullah Gençer1, Tamer Eren1, Hacı Mehmet Alakaş1

  • 1Department of Industrial Engineering, Faculty of Engineering and Architecture, Kırıkkale University, 71451 Kirikkale, Turkey.

Flexible services and manufacturing journal
|June 26, 2023
PubMed
概括
此摘要是机器生成的。

这项研究通过将故障预测与人员资格相结合,优化了安卡拉地铁列车维护时间表. 新模式确保了公平的班次分配和平衡的工作负载,提高了整体运营效率.

关键词:
预测故障的预测.目标编程的目标编程工作人员安排安排.铁路 铁路 铁路 铁路 铁路 铁路 铁路列车的维护和维护是列车的维护.

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A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

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相关实验视频

Last Updated: Jul 25, 2025

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08:36

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Published on: August 8, 2019

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科学领域:

  • 运营研究 运营研究
  • 铁路工程 铁路工程是指铁路工程.
  • 预测性维护是指预测性维护.

背景情况:

  • 安卡拉地铁在安排324列列车的维护人员方面面临挑战,影响每月大约1000万乘客.
  • 目前的调度没有充分考虑故障预测或人员资格,导致潜在的低效率.

研究的目的:

  • 为安卡拉地铁维修人员开发一个优化的班次安排模型.
  • 整合日常人员需求,资格和故障预测,以改善调度.

主要方法:

  • 在181天内分析了1721个故障数据点,以评估8种预测方法.
  • 为30天的故障预测选择了表现最好的预测方法.
  • 利用目标编程来确定日常人员需求,并对员工进行分类 (电子,电机械,机械) 以实现平衡的班次分配.

主要成果:

  • 优化的日程表显示了每月总工作时间的均分布.
  • 班次在员工之间分配得更公平.
  • 在有关人员资格的轮班中实现了必要的平衡.

结论:

  • 将故障预测与人员资格相结合,大大改善了铁路维护人员的安排.
  • 目标编程模型为公共交通运输维护中的多目标调度问题提供了灵活的方法.
  • 这项研究为优化铁路维护操作的文献提供了宝贵的见解.