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Inductors01:20

Inductors

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An inductor, also known as a choke, is a circuit component created to have a specific inductance. Inductors are among the crucial circuit components used in modern electronics, along with resistors and capacitors. They serve as a barrier against changes in a circuit's current. An inductor tends to suppress current changes in an alternating-current circuit that are faster than desired. In a direct-current circuit, an inductor aids in preserving a constant current despite changes in the...
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Magnetic Force On Current-Carrying Wires: Example01:22

Magnetic Force On Current-Carrying Wires: Example

2.1K
In a magnetic field, moving charges encounter a force. If a wire contains these moving charges, i.e., if the wire is carrying a current, then a force acts on the wire as well. Consider a pair of flexible leads holding a wire that is 40 cm long and 10 g in weight in a horizontal position. The wire is placed in a constant magnetic field of 0.40 T, as shown in Figure 1(a). Determine the magnitude and direction of the current flowing in the wire needed to remove the tension in the supporting leads.
2.1K
Induction01:16

Induction

5.6K
An emf is induced when the magnetic field in a coil is changed by pushing a bar magnet into or out of the coil. emfs of opposite signs are produced by motion in opposite directions, and the directions of emfs are also reversed by reversing poles. The same results are produced if the coil is moved rather than the magnet—it is the relative motion that is important. The faster the motion, the greater the emf. Additionally, there is no emf when the magnet is stationary relative to the coil.
A...
5.6K
Mutual Inductance01:24

Mutual Inductance

3.6K
Inductance is the property of a device that tells us how effectively it induces an emf in another device. In other words, it is a physical quantity that expresses the effectiveness of a given device.
When two circuits carrying time-varying currents are close to one another, the magnetic flux through each circuit varies because of the changing current in the other circuit. Consequently, an emf is induced in each circuit by the changing current in the other. Therefore, this type of emf is called...
3.6K
Self-Inductance01:24

Self-Inductance

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Mutual inductance arises when a current in one circuit produces a changing magnetic field that induces an emf in another circuit. On the other hand, self-inductance arises when the current passing through the circuit changes, creating a changing magnetic flux, resulting in inductance in the same circuit.
Consider a circuit connected to an AC source. As the current varies with time, the magnetic flux through the circuit correspondingly changes. Faraday's law tells us that an emf would...
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Charging Conductors By Induction01:15

Charging Conductors By Induction

9.0K
The Earth is a good conductor of electricity, and it is so big that it can be considered an infinite source or sink of charges. It can easily exchange charges with any matter.
Generally, conductors like metals do not allow any excess charge to be present on them. Any excess charge added to metals easily flows away, for example, when a metal is placed on the Earth. This process is called earthing.
However, conductors can be charged by a process called induction. For example, consider charging a...
9.0K

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Updated: Jan 17, 2026

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
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基于非接触式感应线圈的蛇检查机器人的电力配件识别方法研究

Zhiyong Yang1, Jianguo Liu1, Shengze Yang1

  • 1Hubei Key Laboratory of Modern Manufacture Quality Engineering, School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.

Sensors (Basel, Switzerland)
|September 19, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种非视觉方法,用于使用磁信号识别电力线路配件,提高了蛇形机器人在输电线路检查中的准确性. 机器学习方法克服了在具有挑战性的环境中视觉传感器的局限性.

关键词:
在BP神经网络中,神经网络电力配件 电力配件 电力配件遗传算法是一种遗传算法.感应线圈传感器 感应线圈传感器蛇检查机器人 蛇检查机器人

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科学领域:

  • 机器人和自动化 机器人和自动化
  • 电气工程 电气工程
  • 机器学习 机器学习

背景情况:

  • 蛇形机器人对于输电线路检查至关重要.
  • 传统的视觉传感器与可变的照明和复杂的背景作斗争.
  • 精确识别电源配件对于高压线路的维护至关重要.

研究的目的:

  • 开发一种非视觉感知方法,用于高精度的电源配件分类.
  • 为了克服在电力检查环境中的视觉传感器的局限性.
  • 提高蛇形机器人在输电线路检查中的能力.

主要方法:

  • 利用磁感应电机力信号进行分类.
  • 应用了多德-迪兹旋流模型来分析磁场变化.
  • 采用单数值分解 (SVD) 和粒子群优化,以实现最佳的检测定位.
  • 实施了一种基因算法优化的BP神经网络,用于电源配件识别.

主要成果:

  • 在不同的检测距离下,为各种电源配件实现了高分类准确度.
  • 证明成功识别了振动阻尼器 (99.8%),张力 (97.5%),悬挂 (95.1%) 和传输线路 (92.5%).
  • 非视觉方法被证明是有效和强大的对照明的变化.

结论:

  • 拟议的非视觉方法为输电线路检查中的电源装置识别提供了可靠的解决方案.
  • 这种方法显著提高了蛇形机器人在电力基础设施维护中的准确性和适用性.
  • 该研究强调了磁信号分析与机器检查任务的先进机器学习相结合的潜力.