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相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

97
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...
97
Types Of Transformers01:16

Types Of Transformers

930
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...
930
Transformers01:26

Transformers

1.0K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.0K
Three-Winding Transformers01:19

Three-Winding Transformers

174
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...
174
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

122
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...
122
Reducing Line Loss01:18

Reducing Line Loss

130
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
130

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相关实验视频

Updated: May 12, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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学习通过强化学习通过解释路径来解释变压器.

Runliang Niu1, Qi Wang1, He Kong1

  • 1School of Artificial Intelligence, Jilin University, ChangChun 130012, China; Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, Ministry of Education, China.

Neural networks : the official journal of the International Neural Network Society
|May 7, 2025
PubMed
概括

本研究介绍了一个新的强化学习环境,通过修改输入序列来解释变压器模型. 它有效地比较内部变量,以更好地了解变压器的决策和对抗性强度.

关键词:
基金会模型 基金会模型模型解释 模型解释强化学习是一种强化学习.变压器 变压器 变压器

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科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 自然语言处理自然语言处理.

背景情况:

  • 变压器模型在AI中至关重要,但它们的复杂性阻碍了解释.
  • 现有的方法往往侧重于单个内部变量,限制了全面的理解.
  • 了解变压器的决策对于信任和稳定性至关重要.

研究的目的:

  • 开发一个统一的框架来解释使用多个内部变量的变压器模型.
  • 提高模型解释和对抗性攻击策略的有效性.
  • 为了比较不同的内部变压器特征的可解释性贡献.

主要方法:

  • 引入了一个强化学习环境,用于逐步修改输入序列.
  • 代理学习了有针对性的令牌修改策略,以减少模型的信心.
  • 代理可以利用单个或组合的内部变量 (注意力矩阵,梯度,隐藏状态,激活) 作为观察.

主要成果:

  • 在模型解释和对抗性攻击任务中在三个真实世界数据集中表现出卓越的性能.
  • 与随机抽样相比,拟议的方法显著提高了解释的有效性.
  • 能够比较各种内部变量的可解释性贡献.

结论:

  • 强化学习环境为变压器的可解释性提供了一个强大而灵活的方法.
  • 调查结果提供了对变压器决策的洞察力,并激发了未来的研究.
  • 统一模型解释框架推进了可解释人工智能的领域.