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Transformers in Distribution System01:27

Transformers in Distribution System

486
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...
486
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

495
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...
495
Types Of Transformers01:16

Types Of Transformers

1.4K
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...
1.4K
Transformers01:26

Transformers

1.7K
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...
1.7K
Three-Winding Transformers01:19

Three-Winding Transformers

666
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...
666
Energy Losses in Transformers01:21

Energy Losses in Transformers

1.3K
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
1.3K

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相关实验视频

Updated: Jan 11, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

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基于变压器的车辆重新识别与视图信息.

Mingdong Zhu1,2, Qinghe Feng3

  • 1Henan Institute of Technology, School of Computer Science and Technology, Xinxiang, 453003, China.

Scientific reports
|November 18, 2025
PubMed
概括

一个新的基于变压器的车辆重新识别 (ReID) 模型有效地使用视图信息来区分车辆. 这种方法减少了相同车辆之间的差异和不同车辆之间的相似性,实现了最先进的结果.

关键词:
计算机视觉 计算机视觉 计算机视觉重新识别重新识别变压器 变压器变压器车辆图像 车辆图像

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

Published on: December 15, 2023

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相关实验视频

Last Updated: Jan 11, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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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

999

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 工业物联网和智能城市需要先进的车辆重新识别 (ReID) 系统.
  • 在ReID的关键挑战包括内部身份变化 (对同一车辆的不同看法) 和跨身份相似性 (对不同车辆的类似看法).

研究的目的:

  • 提出一个新的基于变压器的车辆ReID模型与视图信息 (TVRVI),以应对身份内部差异和身份内部相似性的挑战.
  • 在大规模数据集中提高车辆重新识别的准确性和稳定性.

主要方法:

  • 将车辆图像注释成五个视图部分,并训练了一个解析网络来分配视图标签.
  • 设计了一个基于变压器的双分支解析网络,以单独从不同的视图中提取特征,最大限度地减少纠.
  • 利用视图信息使本地分支机构能够学习细粒度的视图表示,全球分支机构能够学习整体图像特征.

主要成果:

  • 该TVRVI模型有效地利用常见视图特征,同时减少不常见视图特征的干扰.
  • 证明了车辆图像之间的身份内差异和身份间相似性的显著减少.
  • 在四个公共汽车数据集上实现了最先进的性能,通过废弃研究验证.

结论:

  • 拟议的TVRVI模型,包括视图信息,显著提高了车辆重新识别的准确性.
  • 双分支变压器架构有效处理多视图功能,以提高ReID性能.
  • 视图信息对于克服车辆重新识别任务中的常见挑战至关重要.