Jove
Visualize
联系我们
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

相关概念视频

Multimachine Stability01:25

Multimachine Stability

141
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:
141
Machines: Problem Solving II01:30

Machines: Problem Solving II

296
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.
296
Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

92
Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
92

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

Description of phosphate hydrolysis reactions with the Self-Consistent-Charge Density-Functional-Tight-Binding (SCC-DFTB) theory. 1. Parameterization.

Journal of chemical theory and computation·2011
Same author

Protein subcellular multi-localization prediction using a min-max modular support vector machine.

International journal of neural systems·2010
Same author

[Regulatory functions of Pax gene family in Drosophila development].

Yi chuan = Hereditas·2010
Same author

Lymphoma endothelium preferentially expresses Tim-3 and facilitates the progression of lymphoma by mediating immune evasion.

The Journal of experimental medicine·2010
Same author

Controllable synthesis and luminescent properties of novel erythrocyte-like CaMoO4 hierarchical nanostructures via a simple surfactant-free hydrothermal route.

Dalton transactions (Cambridge, England : 2003)·2010
Same author

Distinguishing the viability of a single yeast cell with an ultra-sensitive radio frequency sensor.

Lab on a chip·2010
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jun 7, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K

基于MWOA-BiLSTM算法的机器故障检测模型

Yi-Qiang Xia1, Yang Yang1

  • 1College of Science, Liaoning Technical University, Fuxin, China.

PloS one
|November 11, 2024
PubMed
概括
此摘要是机器生成的。

调制鱼优化算法 (MWOA) 通过防止过早的融合来增强元启发式优化. MWOA-BiLSTM在分类任务中表现出卓越的性能,优于其他方法.

更多相关视频

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

986
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

相关实验视频

Last Updated: Jun 7, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

986
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

科学领域:

  • 计算智能是一种计算智能.
  • 超启发式优化优化
  • 生物学启发的算法

背景情况:

  • 经典的鱼优化算法 (WOA) 面临着局部最佳和过早融合的挑战.
  • 现有的元启发算法往往难以有效地平衡探索和利用.
  • 生物学启发的优化技术为改善问题解决提供了潜力.

研究的目的:

  • 引入调制鱼优化算法 (MWOA) 进行增强的元启发性优化.
  • 解决传统算法的局限性,特别是局部最佳和过早的融合.
  • 评估MWOA的性能及其在分类任务中的应用.

主要方法:

  • 开发模块化鱼优化算法 (MWOA),包括收缩环绕和螺旋位置更新.
  • 整合考奇变量和扰动项,以改善搜索空间探索.
  • 使用CEC2005基准函数和威尔科克森等级总和测试进行比较分析.
  • 应用MWOA与BiLSTM分类器 (MWOA-BiLSTM) 结合使用,用于绩效评估.

主要成果:

  • MWOA有效地克服了局部最佳和过早的融合问题.
  • 比较研究表明,MWOA的表现优于最近七个关于CEC2005基准函数的元启发.
  • 威尔科克森等级总和测试证实了MWOA有效性的统计学意义.
  • 与其他元启发式-BiLSTM组合相比,MWOA-BiLSTM实现了卓越的准确性,精度,回忆和F1-Score.

结论:

  • MWOA展示了强大的优化能力,有效地平衡勘探和开采.
  • 拟议的MWOA是metaheuristic优化的一个重大进步.
  • MWOA-BiLSTM为分类问题提供了一种非常有效的方法,其性能优于现有的方法.