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相关概念视频

Control of Power Flow01:30

Control of Power Flow

264
There are several methods to control power flow in power systems:
264
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

81
Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
81
Generator Voltage Control01:21

Generator Voltage Control

141
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
141
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

139
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
139

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相关实验视频

Updated: Jun 23, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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基于ControlNet和Swin变压器的自动PCB样品生成和缺陷检测

Yulong Liu1, Hao Wu1, Youzhi Xu1

  • 1School of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, China.

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种先进的方法,用于检测印刷电路板 (PCB) 上的接缺陷. 它增强了样本生成,并使用Swin变压器进行更准确的多目标检查.

关键词:
控制网络 控制网络 控制网络这就是为什么PCB PCB.检测缺陷检测检测缺陷检测的方法稳定的扩散模型.变压器的变压器是一个变压器.

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科学领域:

  • 制造业 工程 制造工程
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 印刷电路板 (PCB) 制造需要有效和准确地检测表面安装元件上的接缺陷.
  • 现有的方法可能会因为多目标检测和数据集限制而困难.

研究的目的:

  • 提出一种新的方法,以提高PCB多目标接缺陷检测的效率和准确性.
  • 增强样本数据集生成和缺陷特征提取,以改善本地化和细分.

主要方法:

  • 利用稳定扩散模型和控制网自动生成来自工业图像的非独立样本.
  • 集成的旋转变压器作为级面具R-CNN中的骨干,用于增强缺陷特征提取.
  • 开发了一种方法,可以同时对所有组件进行大面积检查,而不是单独细分.

主要成果:

  • 成功地扩展了非独立的样本数据集,从而实现了高质量的数据集生成.
  • 在多目标PCB检查过程中实现了对目标和缺陷类型的准确识别.
  • 与其他模型相比,平均回忆 (AR) 提高了2.8%,平均精度 (mAP) 提高了1.9%.

结论:

  • 拟议的方法有效地解决了PCB接缺陷检测方面的挑战.
  • 先进的样本生成和基于Swin变压器的检测的组合显著提高了检查性能.
  • 这种方法为PCB制造中高质量,准确的多目标缺陷分析提供了强大的解决方案.