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

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

100
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
100
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

177
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...
177
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

105
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
105
Multimachine Stability01:25

Multimachine Stability

140
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:
140
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

118
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
118
Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

287
Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
287

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

BiOLO-Wave: a bio-inspired chromatic-deformable attention network for camouflaged fish detection in turbid underwater environments.

Scientific reports·2026
Same author

Brain Tumor Segmentation Using U-Net With ResNet50 Encoder for Enhanced MRI Analysis.

International journal of biomedical imaging·2026
Same author

CERV-Score: A Hybrid Machine Learning Framework for Cervical Cancer Risk Prediction Using Integrated Clinical and Genomic Data.

International journal of telemedicine and applications·2026
Same author

Deep-AquATTEN: a hybrid multi-module attention architecture for robust fish detection and classification in turbid underwater environments.

Scientific reports·2026
Same author

A Lesion-Aware Patch Sampling Approach with EfficientNet3D-UNet for Robust Multiple Sclerosis Lesion Segmentation.

Journal of imaging·2025
Same author

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation.

Frontiers in artificial intelligence·2025

相关实验视频

Updated: Jun 3, 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

使用RSSI测量和人工智能评估旋转电机中的通信性能.

Sonia Ben Brahim1, Samia Dardouri2, Hanen Lajnef1

  • 1InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana 2083, Tunisia.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的AI方法,用于评估使用信号强度在电机中的无线通信. 一个SVM模型在识别可靠的通信信号时达到97%的准确性.

关键词:
这就是RSSI.人工智能的人工智能是人工智能.旋转式电气机器 旋转式电气机器

更多相关视频

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

7.2K
Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
08:40

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Published on: June 12, 2019

7.4K

相关实验视频

Last Updated: Jun 3, 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
A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

7.2K
Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
08:40

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Published on: June 12, 2019

7.4K

科学领域:

  • 电气工程 电气工程
  • 无线通信系统无线通信系统
  • 在工程领域的人工智能.

背景情况:

  • 旋转式电机由于反射和金属表面而对无线通信具有挑战性的环境.
  • 在这些动态系统中评估实时通信性能对于可靠性和效率至关重要.
  • 现有的方法可能无法充分解决旋转机器内部信号传播的复杂性.

研究的目的:

  • 开发和验证一种用于评估旋转电机中的无线通信性能的新方法.
  • 利用接收信号强度指示 (RSSI) 和人工智能进行可靠的信号评估.
  • 为了确定最有效的机器学习模型来分类信号质量在这个特定的应用程序.

主要方法:

  • 利用接收信号强度指示 (RSSI) 测量用于实时信号监控.
  • 实施了包括数据收集,预处理和特征提取在内的多阶段方法.
  • 训练和评估各种机器学习模型,包括支持向量机 (SVM) 带有辐射基函数 (RBF) 内核.

主要成果:

  • 使用RBF内核的支持矢量机 (SVM) 模型表现出卓越的性能.
  • 在分类通信信号质量方面取得了97%的整体准确性.
  • 高精度和回忆得分,以及混矩阵显示的最小错误分类率,证实了模型的稳定性.

结论:

  • 拟议的人工智能驱动的方法有效评估旋转电机中的无线通信性能.
  • 带有 RBF 内核的 SVM 是在这种环境中分析复杂 RSSI 数据的强大而准确的模型.
  • 这种方法可以提高无线系统在苛刻的工业应用中的可靠性评估.