Jove
Visualize
联系我们

相关概念视频

Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

420
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
420
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

175
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
175
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

566
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
566
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

90
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...
90
Second Uniqueness Theorem01:16

Second Uniqueness Theorem

960
Consider a region consisting of several individual conductors with a definite charge density in the region between these conductors. The second uniqueness theorem states that if the total charge on each conductor and the charge density in the in-between region are known, then the electric field can be uniquely determined.
In contrast, consider that the electric field is non-unique and apply Gauss's law in divergence form in the region between the conductors and the integral form to the...
960
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

2.7K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
2.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Emergent dynamics in heterogeneous pulsatile swarmalators.

Chaos (Woodbury, N.Y.)·2026
Same author

Stability of the 1D swarmalator model in the continuum limit.

Chaos (Woodbury, N.Y.)·2025
Same author

Modeling the Interplay Between Seasonal Flu Outcomes and Individual Vaccination Decisions.

Bulletin of mathematical biology·2022
Same journal

Topological dependence of viral mutation spread in complex host-interaction networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Multifractal signatures of Hamiltonian chaos in Hyperion's rotational dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: May 27, 2025

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

12.5K

全球同步定理对结合的群群飞行器.

Kevin O'Keeffe1

  • 1Starling Research Institute, Seattle, Washington 98112, USA.

Chaos (Woodbury, N.Y.)
|February 20, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个全球同步定理,用于移动振荡器,称为swarmalators,在1D环上移动. 它将网络同步概括为包括时间网络中移动单元的动态.

更多相关视频

Basic Caenorhabditis elegans Methods: Synchronization and Observation
11:34

Basic Caenorhabditis elegans Methods: Synchronization and Observation

Published on: June 10, 2012

46.4K
Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

1.3K

相关实验视频

Last Updated: May 27, 2025

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

12.5K
Basic Caenorhabditis elegans Methods: Synchronization and Observation
11:34

Basic Caenorhabditis elegans Methods: Synchronization and Observation

Published on: June 10, 2012

46.4K
Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

1.3K

科学领域:

  • 复杂的系统复杂的系统.
  • 网络科学 网络科学
  • 动态系统 动态系统

背景情况:

  • 振荡器网络对于理解同步现象至关重要.
  • 传统模型通常假定静止振荡器,忽视空间运动.
  • 现实世界的系统经常涉及移动振荡器 (swarmalators),它们在同步时移动.

研究的目的:

  • 开发一个理论框架,用于移动振荡器网络中的同步.
  • 将同步定理从静态网络结构泛化为动态网络结构.

主要方法:

  • 开发一个全球同步定理为1D环上的swarmalators.
  • 对一个振荡器运动决定网络连接 (时间网络) 的模型的分析.

主要成果:

  • 全球同步定理对1D环上的swarmalators的证明.
  • 证明振荡器运动可以整合到网络同步理论中.

结论:

  • 该研究提供了一个基本定理,用于理解移动振荡器系统中的同步.
  • 这项工作将网络同步概念扩展到动态,运动合网络.