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相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

103
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...
103
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

157
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...
157
Energy Losses in Transformers01:21

Energy Losses in Transformers

876
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...
876
Reducing Line Loss01:18

Reducing Line Loss

154
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...
154
Types Of Transformers01:16

Types Of Transformers

978
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...
978
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

434
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...
434

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Updated: Jul 6, 2025

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分因分辨视觉变压器:用局部窗口成本建模远程依赖性

Haolin Qin, Daquan Zhou, Tingfa Xu

    IEEE transactions on neural networks and learning systems
    |December 28, 2023
    PubMed
    概括
    此摘要是机器生成的。

    新的因子化视觉转换器 (FaViT) 提供了一种新的自我注意力机制,以提高计算机视觉中的计算效率和全球依赖性建模. 与Swin变压器等现有模型相比,这种方法提高了性能和稳定性.

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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.
    • 人工智能的人工智能

    背景情况:

    • 变压器提供了强大的图像表示,但面临着计算挑战,通过分辨率进行二次缩放.
    • 斯温变压器使用本地窗口来减少计算,但限制了全球依赖性建模和稳定性.

    研究的目的:

    • 开发一种能平衡计算成本,提高性能和稳定性的视觉变压器.
    • 克服局部基于窗口的自我注意的局限性,以建模全球依赖,并确保模型的稳定性.

    主要方法:

    • 通过将注意力矩阵分解为稀疏的次注意力矩阵,提出了一种新的因子化自我注意力 (FaSA) 机制.
    • 开发了因子化视觉转换器 (FaViT),这是利用FaSA机制的层次模型.
    • 在图像分辨率方面实现了线性计算复杂性.

    主要成果:

    • 在图像分类和下游任务中,FaViT表现出高性能.
    • 该模型对受损和有偏见的数据表现出显著的稳定性.
    • 与Swin-T相比,FaViT-B2比Swin-T提高了1%的分类精度和7%的稳定性,参数减少了14%.

    结论:

    • 在计算成本和性能之间,FaSA提供了有效的权衡,使得远程依赖性建模成为可能.
    • 对于实际的计算机视觉应用,FaViT提供了一个强大的,高效的替代方案.
    • 拟议的方法显示了在视觉任务中推进变压器架构的前景.