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Transformers in Distribution System01:27

Transformers in Distribution System

98
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...
98
Instrument Transformers01:23

Instrument Transformers

64
Instrument transformers, comprising voltage transformers (VTs) and current transformers (CTs), play crucial roles in power substations by providing isolated replicas of current or voltage for measurement and protection purposes. Voltage transformers reduce the primary voltage to levels suitable for relay operation and measurement, while current transformers scale down the primary current. The primary winding of a current transformer often consists of a single turn, achieved by threading the...
64
Types Of Transformers01:16

Types Of Transformers

943
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...
943
Fault Types01:18

Fault Types

63
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...
63
Energy Losses in Transformers01:21

Energy Losses in Transformers

818
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...
818
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

376
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...
376

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相关实验视频

Updated: May 23, 2025

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
07:58

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

Published on: August 7, 2017

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一个基于变压器的实时地震检测框架在异质环境中.

Aming Wu1, Irshad Khan1, Young-Woo Kwon2

  • 1School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea.

Scientific reports
|March 12, 2025
PubMed
概括

本研究介绍了基于变压器的模型TFEQ,用于实时地震检测. TFEQ分析了P和S波,改善了在各种物联网环境中的检测.

科学领域:

  • 地震学 地震学
  • 人工智能的人工智能
  • 物联网的物联网,就是物联网.

背景情况:

  • 与传统方法相比,深度学习方法在地震检测方面表现出更高的效率.
  • 在异质环境中部署深度学习,由于数据的变化和各种评估指标,会带来挑战.
  • 当前的模型往往优先考虑S波检测,忽视了P波的关键早期识别.

研究的目的:

  • 推出TFEQ,一种基于变压器的新型模型,用于实时地震检测.
  • 为了能够同时分析P波和S波,以改进地震事件的识别.
  • 验证模型在各种物联网 (IoT) 环境中的有效性和适用性.

主要方法:

  • 开发了基于变压器的深度学习架构TFEQ.
  • 同时分析P波和S波地震数据.
  • 使用来自CrowdQuake计划的MEMS传感器数据的案例研究.

主要成果:

  • TFEQ展示了有效的实时地震检测能力.
  • 该模型同时分析不同数据域的P和S波.
  • 案例研究证实了TFEQ在各种数据集中的可靠性和概括性.

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相关实验视频

Last Updated: May 23, 2025

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
07:58

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

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结论:

  • 在异质物联网环境中,TFEQ为实时地震检测提供了强大的解决方案.
  • 同时的P和S波分析提高了地震事件识别的准确性.
  • 该模型显示了改善地震研究和防灾准备的巨大潜力.