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相关概念视频

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
662
Block Diagram Reduction01:22

Block Diagram Reduction

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The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
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Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

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Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
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Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

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In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
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在模拟电路中使用集群智能进行故障诊断.

Nadia Nedjah1, Jalber Dinelli Luna Galindo1, Luiza de Macedo Mourelle2

  • 1Department of Electronics Engineering and Telecommunications, State University of Rio de Janeiro, Rio de Janeiro 20550-900, Brazil.

Biomimetics (Basel, Switzerland)
|September 27, 2023
PubMed
概括

这项研究介绍了对模拟电路故障诊断的群集智能,使用蝙蝠算法 (BA) 实现更高的准确性和速度,而不是粒子群集优化 (PSO). 该方法有效地识别出故障组件,而不需要广泛的培训数据.

关键词:
蝙蝠算法 蝙蝠算法粒子集群优化 粒子集群优化模拟电路中的模拟电路.错误诊断 错误诊断 错误诊断 是一个问题.群众情报是一个群众情报.

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科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 由于连续响应,模拟电路的传统故障模型可能无法捕捉所有潜在的故障.
  • 准确的模拟电路故障诊断需要识别故障元件,它们的值,并考虑容忍约束.

研究的目的:

  • 提出并实施使用集群智能对模拟电路的故障诊断方法.
  • 为了比较粒子集群优化 (PSO) 和蝙蝠算法 (BA) 对此任务的有效性.

主要方法:

  • 使用非线性电路方程来计算故障诊断的参数.
  • 采用粒子群集优化 (PSO) 和蝙蝠算法 (BA) 作为群集智能技术.
  • 使用Tow-Thomas Biquad过器和Butterworth过器的案例研究来评估性能.

主要成果:

  • 蝙蝠算法 (BA) 与粒子优化 (PSO) (93.9%) 相比,实现了更高的平均精度 (95.5%).
  • BA在执行时间方面表现出卓越的性能,无故障电路的性能降低了7.95%,故障电路的性能降低了8.12%.
  • 提出的方法成功地确定或减少了潜在故障组件的数量.

结论:

  • 群体智能,特别是蝙蝠算法,为模拟电路故障诊断提供了一种有效的方法.
  • 蝙蝠算法为机器学习方法提供了可比的准确性,而不需要数据集或培训.
  • 这种方法通过考虑连续电路响应和组件公差来增强故障识别.