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相关概念视频

Three-Winding Transformers01:19

Three-Winding Transformers

224
Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
224
Types Of Transformers01:16

Types Of Transformers

971
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
971
The Ideal Transformer01:26

The Ideal Transformer

380
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
380
Transformers01:26

Transformers

1.1K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.1K
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

418
The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
In a practical transformer, each winding exhibits resistance and leakage reactance. The...
418
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

151
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
151

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相关实验视频

Updated: Jun 27, 2025

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

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一个基于两级变压器的网络,用于机动图像分类.

Priyanshu Chaudhary1, Nischay Dhankhar1, Amit Singhal1

  • 1Department of Electronics and Communication Engineering, Netaji Subhas University of Technology, Delhi, India.

Medical engineering & physics
|May 2, 2024
PubMed
概括

这项研究介绍了一种用于脑计算机接口 (BCI) 的新型两级变压器架构. 这种新方法显著提高了电脑电图 (EEG) 信号对运动成像任务的分类准确性.

关键词:
增强 增强是一种增强.分类 分类 分类 分类.在 TabNet TabNet 中使用.时间卷积网络 (TCN)两个阶段的架构架构.

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Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain
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Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

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Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain
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Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

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科学领域:

  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程
  • 机器学习 机器学习

背景情况:

  • 大脑-计算机接口 (BCI) 对于理解大脑功能和治疗神经系统疾病至关重要.
  • BCI有助于运动功能障碍康复和推进运动图像应用.
  • 电脑电图 (EEG) 信号对于在BCI中分类运动意图至关重要.

研究的目的:

  • 为了提高对汽车图像的基准EEG信号的分类性能.
  • 介绍一种基于变压器的新型两级架构,以提高BCI准确性.
  • 为了解决BCI深度学习架构中有限的培训数据的挑战.

主要方法:

  • 一个双阶段的变压器架构,结合了手工制作的功能和深度学习.
  • 第1阶段:使用EEGNet,多头注意力和可分离的时间卷积网络进行时空特征提取.
  • 第2阶段:使用TabNet进行分类,使用第1阶段的功能和嵌入,以及一种新的道集群交换数据增强技术.

主要成果:

  • 在BCI竞争IV-2a数据集上实现了88.5%的平均分类准确度.
  • 在BCI竞争IV-2b数据集上获得了88.3%的平均分类准确度.
  • 与最近报告的作品相比,显示了3.0%的精度改善.

结论:

  • 开发的两级架构显著增强了BCI的EEG信号分类.
  • 这种新的数据增强技术有效地处理有限的训练样本.
  • 拟议的方法为BCI中的运动图像应用提供了卓越的性能.