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相关概念视频

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

635
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
635
Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

718
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...
718
Multimachine Stability01:25

Multimachine Stability

592
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:
592
Design of Transmission Shafts - Stress Analysis01:15

Design of Transmission Shafts - Stress Analysis

764
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...
764
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

831
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...
831
Residual Stresses in Circular Shafts01:10

Residual Stresses in Circular Shafts

572
In materials that exhibit elastic and plastic behavior, known as elastoplastic materials, residual stresses can accumulate when these materials experience plastic deformation. This deformation arises from either high levels of shearing stress or significant strains. Residual stresses are internal stresses that persist within a material after removing the external force causing deformation. This phenomenon is demonstrated when observing the behavior of a shaft under torque; notably, the...
572

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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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使用人工神经网络和减少顺序模型对集成闪光轴旋转器振动进行随机不确定性分析.

Hongyun Sun1, Xinqi Li1, Xinjie Bai1

  • 1School of Automotive and Transportation, Shenyang Ligong University, Shenyang 110159, China.

Materials (Basel, Switzerland)
|February 27, 2026
PubMed
概括

这项研究引入了一种使用减少顺序建模和人工神经网络 (ANN) 的新方法,尽管存在材料不确定性,但可以预测航空发动机闪光轴旋转器中的振动. 该方法准确量化了模式变化,改善了发动机设计.

关键词:
人工神经网络的人工神经网络集成的闪光轴旋转器旋转器模式敏感性分析减少顺序建模 减少顺序建模随机的不确定性分析分析.

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科学领域:

  • 航空航天工程 航空航天工程
  • 机械工程 机械工程
  • 计算动力学是一种计算动力学.

背景情况:

  • 集成的闪光轴转子是先进的航空发动机设计的关键,改善结构完整性和减少重量.
  • 由于固有的材料不确定性,预测这些旋转器的动态行为具有挑战性.
  • 可靠的振动预测对于航空发动机的安全和高效运行至关重要.

研究的目的:

  • 为集成的闪光轴旋转器开发一种新的随机不确定性分析框架.
  • 为了高效,准确地量化物质不确定性下的模式变化.
  • 为了使航空发动机转子能够进行强大的设计优化.

主要方法:

  • 开发了一种高保真性有限元模型和一个经过验证的减少顺序模型 (ROM) 以提高计算效率.
  • 引入了材料参数的不确定性,并使用ROM计算了自然频率.
  • 训练了一种人工神经网络 (ANN) 替代模型,将参数不确定性映射到模态频率,以便快速预测.

主要成果:

  • 组合ROM-ANN方法实现了对模态频率的高预测精度.
  • 与传统方法相比,显著减少了计算工作量.
  • 成功完成了不确定性传播和全球灵敏度分析,确定了关键影响参数.

结论:

  • 拟议的框架提供了一个有效的工具,用于不确定性意识的动态分析和设计优化集成的闪光轴旋转器.
  • 证明了机器学习与结构动态的成功整合,以实现可靠的航空发动机设计.
  • 在不确定性下的复杂旋转机械中提升了模态变量的预测.