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相关概念视频

Three-Winding Transformers01:19

Three-Winding Transformers

265
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...
265
Types Of Transformers01:16

Types Of Transformers

1.0K
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...
1.0K
The Ideal Transformer01:26

The Ideal Transformer

434
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...
434
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

470
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...
470
Transformers in Distribution System01:27

Transformers in Distribution System

127
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
127
Reducing Line Loss01:18

Reducing Line Loss

174
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...
174

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基于变压器引导的GAN的单通道盲图像分离

Yaya Su1, Dongli Jia1, Yankun Shen1

  • 1School of Information and Electrical Engineering, Hebei University of Engineering, Handan 056038, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种转换器引导的生成对抗网络 (GAN),用于盲目图像分离. 这种新的方法增强了结构和详细的重建,优于现有的方法.

关键词:
变压器变压器变压器联合国网络 联合国网络 联合国网络盲目的图像分离方式生成性的对抗性网络.

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科学领域:

  • 信号处理 信号处理
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 由于未知的源信号分布和混合矩阵,盲源分离 (BSS) 具有挑战性.
  • 传统的BSS方法依赖于统计先验,这可能并不总是适用.
  • 现有的基于生成对抗网络 (GAN) 的盲目图像分离方法往往忽略了结构和详细的重建,导致残留干扰.

研究的目的:

  • 提出一种新的变压器引导的GAN,以改善盲人图像分离.
  • 解决当前基于GAN的方法在重建图像结构和细节方面的局限性.
  • 为了提高BSS任务中分离图像的准确性和质量.

主要方法:

  • 使用带有注意力机制的变压器引导的生成对抗网络 (GAN).
  • 在产生者和歧视者之间采用对抗训练.
  • 集成U形网络 (UNet) 用于卷积特征融合和结构重建.
  • 杆变压器用于定位注意力,以指导详细的信息恢复.

主要成果:

  • 与现有的算法相比,拟议的方法在盲目图像分离方面表现出优异的性能.
  • 定量实验显示,峰值信号与噪声比率 (PSNR) 和结构相似性指数测量 (SSIM) 的显著改善.
  • 该方法有效地重建图像结构和细节,最大限度地减少残留干扰.

结论:

  • 变压器引导的GAN为盲目图像分离提供了强大的解决方案,克服了先前技术的限制.
  • 变压器和UNet架构的集成增强了结构和详细信息的重建.
  • 这种方法代表了信号处理领域的重大进步,用于图像分离任务.