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相关概念视频

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

138
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...
138
Types Of Transformers01:16

Types Of Transformers

944
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...
944
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

392
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...
392
Full wave rectifier01:22

Full wave rectifier

787
A full-wave rectifier is a device that converts alternating current (AC) to direct current (DC) and is more efficient than its half-wave counterpart. It typically includes a center-tapped transformer, two diodes, and a load resistor. The secondary winding of the transformer is divided to provide two equal voltages of opposite polarities, which is the pivotal element of full-wave rectification.
787
Energy Losses in Transformers01:21

Energy Losses in Transformers

824
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...
824
Three-Winding Transformers01:19

Three-Winding Transformers

191
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...
191

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一个对抗式变压器用于异常的羊羔波浪模式检测.

Jiawei Guo1, Sen Zhang2, Nikta Amiri1

  • 1Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208, USA.

Neural networks : the official journal of the International Neural Network Society
|January 17, 2025
PubMed
概括

本研究介绍了一种无监督的对抗变压器模型,用于使用Lamb波检测缺陷. 该模型准确地识别了结构健康监测中的异常波浪模式,准确率为97.1%.

关键词:
对抗式学习是一种对抗式的学习.异常检测检测异常检测计算机视觉 计算机视觉 计算机视觉深度学习是一种深度学习.时间序列数据分析数据分析.变压器模型模型没有监督的学习学习.

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科学领域:

  • 结构健康监测 结构健康监测
  • 波传播分析 波传播分析
  • 机器学习用于工程.

背景情况:

  • 羔羊波对于结构健康监测至关重要,需要先进的数据分析技术.
  • 目前用于Lamb波分析的现有方法在可靠检测异常模式方面面临挑战.

研究的目的:

  • 开发一个无监督的对抗变压器模型用于异常的Lamb波浪模式检测.
  • 提高结构健康监测应用程序中的缺陷检测能力.

主要方法:

  • 使用混合PZT扫描激光多普勒振动计 (SLDV) 产生时空Lamb波图像.
  • 实施了一个无监督的对抗转换器模型,使用全球和本地注意力机制进行对抗训练.
  • 引入了细分更换策略,以改善正常波纹理特征的提取.

主要成果:

  • 对抗式变压器模型在异常波纹检测中实现了97.1%的准确性.
  • 全球关注有效地重建了正常数据,同时突出了异常.
  • 与当地关注的对抗性培训提高了全球关注的表现.

结论:

  • 与基准模型相比,拟议的对抗变压器模型在异常的Lamb波浪模式检测方面提供了卓越的性能.
  • 在对抗性框架内,全球和地方关注的结合是该模型有效性的关键.
  • 分段替换策略进一步提高了模型区分正常与异常波浪模式的能力.