Jove
Visualize
联系我们

相关概念视频

Line Loss01:10

Line Loss

234
The different configurations of source-load connections include wye (star) and delta connections. The relationship between line and phase voltages and currents varies depending on the configuration. When the source is supplying power, it is transmitted through the wires to the load, and during this transmission, some power is absorbed by the wires, leading to line loss.
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
234
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

93
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
93
The Y-to-Delta Circuit01:19

The Y-to-Delta Circuit

400
A balanced wye-to-delta circuit comprises balanced Y-connected voltage sources and delta-connected loads with no neutral line connection.
The initial step in analyzing a wye-to-delta circuit is to assume a positive phase sequence. These phase voltages are then utilized to calculate the line voltages that occur directly across the delta-connected load impedances. Van, Vbn, and Vcn are the phase voltages in wye, and Vab, Vbc, and Vca are the line voltages for a delta circuit. The relation between...
400
Power Factor Correction01:20

Power Factor Correction

154
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
154
Reducing Line Loss01:18

Reducing Line Loss

141
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
141
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

159
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:
159

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

Early screening of mild cognitive impairment based on eye-tracking technology: a cross-sectional study.

Aging clinical and experimental research·2026
Same author

A custom preservation solution extends the ex vivo availability of living heart valves for transplantation.

JTCVS open·2025
Same author

LGI1 Antibody-Associated Encephalitis Complicated with Sjögren's Syndrome and Acute Cerebral Infarction: A Case Report and Literature Review

Endocrine, metabolic & immune disorders drug targets·2025
Same author

Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation.

Frontiers in plant science·2025
Same author

Fasciola cinereum: a novel choke point for epilepsy treatment.

Acta epileptologica·2025
Same author

Analysis of Cardiac Arrhythmias Based on ResNet-ICBAM-2DCNN Dual-Channel Feature Fusion.

Sensors (Basel, Switzerland)·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·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 28, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

455

线路-YOLO:一种高效的电力线路角度检测算法.

Chuanjiang Wang1, Yuqing Chen1, Zecong Wu2

  • 1College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了Line-YOLO,这是一种改进的电力线倾斜角度检测算法. 与传统方法相比,它提高了准确性和效率,同时减少了与传统方法相比的错误和工作量.

关键词:
BiFPN的特点是核聚变.欧洲药物管理局的注意力机制这就是YOLOv8s-seg算法.可以变形的卷积卷积.电力线路检测检测 电力线路检测

更多相关视频

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
14:18

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

11.3K
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.3K

相关实验视频

Last Updated: May 28, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

455
Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
14:18

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

11.3K
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.3K

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 电气工程 电气工程

背景情况:

  • 手动电力线倾斜角度检测是劳动密集型的,容易出现错误.
  • 现有的自动化方法与可变的电力线形状和阻塞作斗争.

研究的目的:

  • 开发一套高效准确的自动化系统,用于电力线倾斜角度检测.
  • 改进现有的对象检测模型,用于电力线路检查任务.

主要方法:

  • 一个改进的算法,Line-YOLO,基于YOLOv8s-seg被开发.
  • 引入可变形卷积式DCNv4,以处理可变电源线形状.
  • 集成的BiFPN用于高效的特征融合,以及EMA的注意力用于改进目标识别,特别是在重叠的电力线上.
  • 添加了一个小目标检测头来解决小或封闭目标的检测.

主要成果:

  • 与基准模型相比,Line-YOLO在mAP@0.5实现了6.2%的改进.
  • 将参数数量减少了28.2%,并提高了每秒浮点运算的35.3%.
  • 每秒检测到的数增加了14 FPS,证明了效率的提高.

结论:

  • 增强的Line-YOLO模型显著提高了电力线倾斜角度任务的检测精度和效率.
  • 该算法有效地解决了诸如可变形状,目标重叠和小/隐蔽目标等挑战.
  • Line-YOLO为自动化电力线路检查提供了强大而高效的解决方案.