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相关概念视频

Multimachine Stability01:25

Multimachine Stability

165
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
165
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

149
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...
149
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

93
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...
93
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

247
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
247
Bus Impedance Matrix01:24

Bus Impedance Matrix

128
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
128
Fault Types01:18

Fault Types

90
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...
90

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相关实验视频

Updated: Jul 12, 2025

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

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研究三相异步运动故障诊断基于多尺度韦布尔分散的研究.

Fengyun Xie1,2,3, Enguang Sun1, Shengtong Zhou1,2,3

  • 1School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.

Entropy (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究引入了一种新的故障诊断方法,用于使用多尺度韦布尔分散和优化支向量机器的三相异步电机. 该技术在识别电机故障方面达到100%的准确性,即使在有噪音数据的情况下也表现出强大的性能.

关键词:
韦布尔分销公司错误诊断 错误诊断 错误诊断 是一个问题.多尺度分散的.粒子群集优化 粒子群集优化支持矢量机器的支持矢量机器.

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科学领域:

  • 工程 工程师 工程师 工程师
  • 机器学习 机器学习
  • 信号处理 信号处理

背景情况:

  • 三相异步电机在机械工业中至关重要,需要可靠的故障诊断以确保运行健康.
  • 现有的故障诊断方法可能缺乏准确性和概括能力.

研究的目的:

  • 为三相异步电机提出一个改进的故障诊断方法.
  • 通过一种新的特征提取和分类方法,提高故障诊断的准确性和概括性.

主要方法:

  • 使用韦布尔分布 (WB) 处理振动信号进行线性化和使用多尺度分散 (MDE) 进行特征提取.
  • 一个支持向量机 (SVM) 分类器使用粒子群优化 (PSO) 进行了优化,以对电机状态进行分类.
  • 该方法使用实验数据,包括噪声信号和公共数据集,用压电加速度传感器验证了该方法.

主要成果:

  • 拟议的WB-MDE和PSO-SVM方法在故障分类和识别方面实现了100%的准确性.
  • 该模型在测试不同信号对噪声比率和CHIST-ERA SOON数据集时显示出强大的抗噪能力和概括能力.
  • 实验验证证了提出的故障诊断技术的有效性和优越性.

结论:

  • 用于特征提取的WB-MDE和用于分类的PSO-SVM的组合为三相异步电机故障诊断提供了一个高度准确和强大的解决方案.
  • 该方法在杂的环境中表现出色,并且对未见的数据进行了很好的概括.
  • 这种方法有助于确保工业应用中电机的健康运行.