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相关概念视频

Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

1.4K
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...
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The Ideal Transformer01:26

The Ideal Transformer

1.4K
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 tangential...
1.4K
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
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

523
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...
523
Transformers in Distribution System01:27

Transformers in Distribution System

498
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...
498
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

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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ELFT:高效的局部-全球融合变压器用于小物体检测.

Guoguang Hua1, Fangfang Wu2, Guangzhao Hao3

  • 1School of Artificial Intelligence, Guangzhou Maritime University, Guangzhou, Guangdong, China.

PloS one
|September 24, 2025
PubMed
概括

本研究介绍了一种高效的局部-全球融合变压器 (ELFT),用于改进小物体检测. ELFT 增强了特征提取并降低了计算负载,在基准数据集上表现优于现有的方法.

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科学领域:

  • 计算机视觉 计算机视觉
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 变压器模型在计算机视觉方面表现出色,但由于功能提取不足,在小物体检测方面遇到了困难.
  • 由于高计算需求,现有的方法在资源有限的平台上面临部署挑战.

研究的目的:

  • 为有效和高效的小物体检测提出一个高效的局部-全球融合变压器 (ELFT).
  • 解决当前基于变压器的方法在特征表示和计算复杂性的局限性.

主要方法:

  • 开发了一种高效的局部-全球融合注意力 (ELGFA) 机制,用于增强位置特征提取和整合详细的特征地图信息.
  • 引入了分组功能更新模块 (GFUM),通过在组内交替更新高级和低级功能来降低计算复杂性.
  • 整合了广播上下文模块 (CB),以丰富上下文信息,以改进小物体识别.

主要成果:

  • 实现了高平均精度 (mAP) 评分:95.8%的远程传感物体检测 (RSOD),94.3%的NWPU VHR-10,和85.2%的帕斯卡VOC2007.
  • 与DINO相比,显著减少了计算负担:参数减少10.4%,浮点操作 (FLOP) 减少22.7%.

结论:

  • 拟议的ELFT有效地提高了小物体检测的准确性.
  • ELFT提供了一种计算效率高的解决方案,适用于资源有限的环境,性能优于现有的方法.