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相关概念视频

Types Of Transformers01:16

Types Of Transformers

1.4K
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...
1.4K
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

1.4K
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...
1.4K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

392
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
392
Three-Winding Transformers01:19

Three-Winding Transformers

685
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...
685
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

523
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...
523
Instrument Transformers01:23

Instrument Transformers

438
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...
438

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相关实验视频

Updated: Jul 1, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

多变量时间序列异常检测基于反向变压器与多变量内存门的反向变压器.

Yuan Ma1, Weiwei Liu2, Changming Xu2

  • 1The Center of National Railway Intelligent Transportation System Engineering and Technology, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China.

Entropy (Basel, Switzerland)
|September 27, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了ITMMG,这是一种用于在多变量时间序列中检测工业物联网异常的新方法. 通过捕获可变依赖关系,ITMMG提高了准确性和稳定性,特别是在不平衡的数据中.

关键词:
检测异常检测异常检测深度学习是一种深度学习.时间序列时间序列变压器的变压器是一个变压器.没有监督的学习学习.

更多相关视频

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
05:11

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

相关实验视频

Last Updated: Jul 1, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
05:11

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

科学领域:

  • 物联网 (IoT) 的工业互联网.
  • 时间序列分析时间序列分析
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 在工业物联网多变量时间序列中检测异常至关重要,但由于数据不平衡,高维度和变量间差异,具有挑战性.
  • 当前的深度学习方法往往无法捕捉个性化的特征和变量间的依赖关系,导致性能下降和过度适应异常模式.

研究的目的:

  • 提出一个有效的深度学习模型,用于工业物联网中的多变量时间序列异常检测.
  • 解决现有方法在处理不平衡数据集和捕获复杂数据依赖方面的局限性.

主要方法:

  • 推出了ITMMG (具有多变量内存门的倒置变压器).
  • 采用反向令牌嵌入策略来处理多变量数据.
  • 使用多变量内存门来捕捉变量和正常模式之间的深度依赖.

主要成果:

  • 与基线方法相比,ITMMG在检测准确性和稳定性方面表现出卓越的表现.
  • 该方法有效地捕捉了变量和个体变量正常模式之间的深度依赖.
  • 在重建过程中显著减少异常样本的错误分类.

结论:

  • ITMMG为工业物联网多变量时间序列中的异常检测提供了强大的解决方案.
  • 拟议的反向变压器具有多变量内存门,有效地应对数据不平衡和复杂依赖的挑战.
  • 在标准时间序列异常检测数据集上实现了最先进的性能.