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相关概念视频

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

141
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...
141
Transformers in Distribution System01:27

Transformers in Distribution System

99
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...
99
Types Of Transformers01:16

Types Of Transformers

951
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...
951
The Ideal Transformer01:26

The Ideal Transformer

359
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...
359
Three-Winding Transformers01:19

Three-Winding Transformers

212
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...
212
Energy Losses in Transformers01:21

Energy Losses in Transformers

841
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...
841

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相关实验视频

Updated: Jun 11, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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一个新的多级网络入侵检测模型与变压器.

Chiming Xi1, Hui Wang2, Xubin Wang1

  • 1School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, 201418, China.

Scientific reports
|October 5, 2024
PubMed
概括

一个新的入侵检测系统 (IDS) 模型,IDS-MTran,使用多尺度变压器来分析网络流量. 这种方法通过捕获更广泛的模式来改善入侵检测,并在常见数据集上达到99%以上的准确性.

关键词:
深度学习是一种深度学习.侵入检测系统的入侵检测系统多个尺度的数据数据.变压器变压器变压器

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科学领域:

  • 网络安全 网络安全
  • 网络安全 网络安全
  • 机器学习 机器学习

背景情况:

  • 侵入检测系统 (IDS) 对于网络安全至关重要.
  • 目前的IDS方法由于单个规模的分析,缺少关键功能,与大型数据集作斗争.
  • 这导致性能下降,并忽略了潜在的威胁.

研究的目的:

  • 提出一个新的基于多尺度变压器的入侵检测系统 (IDS),命名为IDS-MTran.
  • 通过利用多个规模的交通特征的协作来加强入侵检测,以获得更广泛的模式覆盖.
  • 提高检测各种网络攻击的准确性和稳定性.

主要方法:

  • 使用各种内核的卷积运算符来生成多个规模的流量特征.
  • 引入了拼接与聚合 (PwP),以增强特征表示和行业间互动.
  • 设计了一个多尺度变压器骨干,用于建模各种尺度特征和提取入侵痕迹.
  • 开发了交叉特征丰富 (CFE) 来整合和丰富最终输出的多尺度特征.

主要成果:

  • 与现有方法相比,IDS-MTran模型表现出优越的性能.
  • 在三个常见数据集上实现了超过99%的准确性:NSL-KDD,CIC-DDoS 2019和UNSW-NB15.
  • 展示了加强的能力,以有效地区分不同类型的网络攻击.

结论:

  • 拟议的IDS-MTran模型为网络入侵检测提供了更准确,更稳定的解决方案.
  • 多尺度特征分析显著扩大了模式覆盖范围,解决了单尺度方法的局限性.
  • 该模型的高精度和稳定性验证了其在现实世界的网络安全场景中的有效性.