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相关概念视频

Three-Winding Transformers01:19

Three-Winding Transformers

216
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...
216
The Ideal Transformer01:26

The Ideal Transformer

369
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...
369
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

404
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...
404
Types Of Transformers01:16

Types Of Transformers

954
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...
954
Energy Losses in Transformers01:21

Energy Losses in Transformers

844
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...
844
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

144
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...
144

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Updated: Jun 15, 2025

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相关联嵌入式变压器跟踪:一个单分支框架.

Fei Xie, Wankou Yang, Chunyu Wang

    IEEE transactions on pattern analysis and machine intelligence
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    概括
    此摘要是机器生成的。

    本研究介绍了一种基于单支变压器的新型跟踪器 (SBT) 用于视觉对象跟踪,提高了强度和区分. 增强的SuperSBT模型显著提高了基准数据集的性能和速度.

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    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:

    • 传统的基于语的追踪器因功能提取不足而难以进行强大和有区别的外观建模.
    • 现有的方法往往侧重于相关操作,限制了同时的稳定性和歧视性.

    研究的目的:

    • 为改进视觉对象跟踪提出一个创新的单分支跟踪框架,灵感来自变压器.
    • 通过加强单一分支机构的方法,开发一个更高效,更有效的追踪器.

    主要方法:

    • 使用具有深度,多层交叉图像特征相关性的变压器开发了一个单分支追踪框架 (SBT).
    • 超级SBT模型结合了层次架构,局部建模,统一关系建模和掩面图像建模预训.

    主要成果:

    • 在LaSOT,TrackingNet和GOT-10K上,SuperSBT的表现分别超过了SBT基线的4.7%,3.0%和4.5%AUC.
    • 与SBT相比,SuperSBT显著提高了跟踪速度,从37 FPS增加到81 FPS.
    • 提出的方法在八个视觉对象跟踪基准中取得了卓越的结果.

    结论:

    • 基于变压器的单分支方法有效地解决了基于语的追踪器的局限性.
    • 超级SBT为视觉对象跟踪提供了最先进的解决方案,平衡高精度和速度.