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相关概念视频

Multimachine Stability01:25

Multimachine Stability

229
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:
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Harmonic Mean01:09

Harmonic Mean

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The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
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Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

329
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...
329
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

333
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
333
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

155
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
155
Design of Transmission Shafts - Stress Analysis01:15

Design of Transmission Shafts - Stress Analysis

498
Designing a transmission shaft requires a thorough understanding of the stresses induced by bending moments and torques, especially in systems where power is transferred through gears. These forces create force-couple systems at the centers of the shaft's cross-sections, leading to both transverse and torsional loading. Although shearing stresses from transverse loads are typically smaller than those from torques and are often overlooked, the significant normal stresses from these loads...
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相关实验视频

Updated: Sep 10, 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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一种有效的混合动力可靠性分析方法,适用于波驱动器

Jingqi Cui1, Di Zuo2, Xiaoxi Men2

  • 1School of Mechanical Engineering, Dalian Jiaotong University, Dalian, China.

PloS one
|August 21, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的方法来评估协调驱动的可靠性,考虑到多种不确定性. 该方法准确评估各种模式的故障概率,有助于精密机械设计.

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科学领域:

  • 机械工程
  • 可靠性工程

背景情况:

  • 在精密机械,机器人和航空航天领域,
  • 它们的性能受到不确定的参数的影响.
  • 现有的可靠性分析方法可能无法完全解决混合不确定性.

研究的目的:

  • 为了建立和驱动器故障模式的极限状态函数.
  • 开发一种在混合不确定性下解决概率和间隔可靠性的方法.
  • 准确和快速评估波减速器的故障概率.

主要方法:

  • 根据应力强度干扰理论建立极限状态函数.
  • 结合修改的混沌控制和乘数缩小方法.
  • 对概率和间隔可靠性的连续解决方案.

主要成果:

  • 一个简单可执行的可靠性分析模型.
  • 对不同故障模式的故障概率进行准确和快速的评估.
  • 在不同的故障模式中展示不同的强度影响.

结论:

  • 拟议的方法有效地解决了混合动力驱动器的不确定性.
  • 该模型提供了一种可靠的工具来评估调驱动性能.
  • 了解强度的影响是优化和驱动设计的关键.