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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
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

84
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
84
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

458
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
458
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
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

680
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...
680
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

245
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
245

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Updated: Jul 26, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

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多灵活的集成调度算法多灵活的集成调度问题与设置时间.

Dan Yang1, Zhiqiang Xie1, Chunting Zhang1

  • 1School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150000, China.

Mathematical biosciences and engineering : MBE
|June 16, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的算法来解决复杂的调度问题与设置时间. 该算法优化了机器分配和操作调度,提高了效率并减少了置时间.

关键词:
灵活的制造业 灵活的制造业灵活的规划路径 灵活的规划路径灵活的连续操作.多灵活的集成日程安排设置时间 设置时间

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科学领域:

  • 运营研究 运营研究
  • 工业工程 工业工程 工业工程
  • 制造系统制造系统的制造

背景情况:

  • 集成调度问题与设置时间在优化制造流程方面存在重大挑战.
  • 现有的算法往往难以有效地管理灵活的操作和机器置时间.

研究的目的:

  • 为设置时间的多灵活集成调度问题开发和验证一种新的算法.
  • 通过最大限度地减少机器置时间和最大限度地实现并行处理,提高调度效率.

主要方法:

  • 提出了一个多灵活的集成调度算法,包含四个关键策略.
  • 基于最长后续路径原则的操作优化分配策略.
  • 平行优化和灵活的操作确定策略,用于动态调度.
  • 潜在的操作 管理并发操作的先发性策略.

主要成果:

  • 开发的算法有效地解决了多灵活的集成调度问题与设置时间.
  • 与现有方法相比,证明了更好的调度效率和更短的机器置时间.
  • 成功处理灵活的操作和潜在的先发制.

结论:

  • 拟议的算法为复杂的集成调度场景提供了强大的解决方案.
  • 它为改善制造吞吐量和资源利用提供了有价值的工具.
  • 该算法的有效性扩展到灵活的集成调度问题,没有设置时间.