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相关概念视频

The Swing Equation01:21

The Swing Equation

398
The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.
In a steady-state operation, the mechanical torque (Τm) supplied to the generator is balanced by the electrical torque...
398
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

191
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:
191
Navier–Stokes Equations01:28

Navier–Stokes Equations

491
For incompressible Newtonian fluids, where density remains constant, stresses show a linear relationship with the deformation rate, defined by normal and shear stresses. Normal stresses depend on the pressure exerted on the fluid and the rate of deformation in specific directions, which determines how fluid flows under varying pressures. Shear stresses, on the other hand, act tangentially across fluid layers. They explain how adjacent fluid layers slide relative to one another, connecting...
491
Velocity and Acceleration of a Wave00:51

Velocity and Acceleration of a Wave

4.0K
A wave propagates through a medium with a constant speed, known as a wave velocity. It is different from the speed of the particles of the medium, which is not constant. In addition, the velocity of the medium is perpendicular to the velocity of the wave. The variable speed of the particles of the medium implies that there must be acceleration associated with it. 
The velocity of the particles can be obtained by taking the partial derivative of the position equation with respect to time....
4.0K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

107
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
107
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

212
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the...
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相关实验视频

Updated: Jun 30, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

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促进基于偏微分方程的动态和未知动态之间的相互作用,用于区域风速预测.

Shidong Chen1, Baoquan Zhang1, Xutao Li1

  • 1School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, Guangdong, China.

Neural networks : the official journal of the International Neural Network Society
|March 20, 2024
PubMed
概括

这项研究引入了一种新的PDE辅助网络 (PaNet),用于区域风速预测. PaNet将部分微分方程 (PDEs) 描述的物理原理与数据驱动动力学相结合,优于现有方法.

关键词:
深度学习是一种深度学习.基于物理学的神经网络.区域风速预测的预测

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Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
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Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

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相关实验视频

Last Updated: Jun 30, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

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Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom
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Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
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科学领域:

  • 环境科学环境科学
  • 计算流体动力学的流体动力学.
  • 可再生能源系统可再生能源系统

背景情况:

  • 区域风速预测对于优化风能利用至关重要.
  • 复杂的风力动态为准确的预测带来了重大挑战.
  • 控制风力动态的基本物理原理可以通过部分微分方程 (PDEs) 描述.

研究的目的:

  • 提出一种新的方法,即PDE辅助网络 (PaNet),用于区域风速预测.
  • 开发一个集成基于PDE和未知动态的架构.
  • 提高风速预测的准确性和可靠性.

主要方法:

  • 设计了一个新的神经网络架构,PaNet,结合了基于PDE的动态和未知的动态.
  • 带有注意力门的交互动态通信单元调节了两个动态之间的相互作用.
  • 通过选择基本的频率组件,可适应的频率关闭单元通过选择基本的频率组件来产生适合PDE动态的初始状态.

主要成果:

  • 与基线方法相比,PaNet在综合实验中表现出优越的预测性能.
  • 整合PDE动态和注意力沟通的整合提高了预测准确度.
  • 适应频率关闭单元有效地优化了PDE动态的初始状态.

结论:

  • 拟议的PaNet在区域风速预测方面取得了重大进展.
  • 将物理原理 (PDEs) 与数据驱动方法相结合,可以提高预测能力.
  • 通过准确的预测,PaNet为优化风能利用提供了一个强大的框架.