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相关概念视频

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

79
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
79
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
56
Linear time-invariant Systems01:23

Linear time-invariant Systems

186
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
186
Classification of Systems-I01:26

Classification of Systems-I

158
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
158
Oscillations about an Equilibrium Position01:04

Oscillations about an Equilibrium Position

5.2K
Stability is an important concept in oscillation. If an equilibrium point is stable, a slight disturbance of an object that is initially at the stable equilibrium point will cause the object to oscillate around that point. For an unstable equilibrium point, if the object is disturbed slightly, it will not return to the equilibrium point. There are three conditions for equilibrium points—stable, unstable, and half-stable. A half-stable equilibrium point is also unstable, but is named so...
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Root Loci for Positive-Feedback Systems01:23

Root Loci for Positive-Feedback Systems

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The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
The construction rules for the root locus in positive feedback systems are similar to those in...
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相关实验视频

Updated: May 12, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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通过基于网络的预测,探索非线性振荡器系统中的局部化.

Charlotte Geier1, Norbert Hoffmann1,2

  • 1Department of Mechanical Engineering, Hamburg University of Technology, Hamburg, Germany.

Chaos (Woodbury, N.Y.)
|May 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的基于网络的方法,用于预测和定位工程系统中的局部振动. 该方法有效地检测到即将到来的高振幅振动,防止潜在的组件故障.

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科学领域:

  • 工程 工程师 工程师 工程师
  • 非线性动力学是一种非线性动力学.
  • 网络科学 网络科学

背景情况:

  • 由非线性或对称性破坏引起的局部振动可以导致因疲劳而导致灾难性的元件故障.
  • 预测这些振动的发生是具有挑战性的,因为在运行过程中系统参数发生变化.

研究的目的:

  • 开发一种新的基于网络的方法,用于早期检测和定位即将发生的局部振动.
  • 提供一种补充传统几何合分析的方法.

主要方法:

  • 利用合成测量数据构建一个功能网络,代表机器组件的动态相互作用.
  • 分析生成的功能网络,以识别暗示即将发生局部振动的模式.

主要成果:

  • 拟议的基于网络的方法成功地检测到即将到来的局部振动,并精确地确定它们的位置在 bladed disk 模型中.
  • 证明了对参数不确定性,测量噪声和不同数据样本长度的稳定性.

结论:

  • 功能网络方法为预测复杂工程系统中局部振动提供了可靠的策略.
  • 这种方法通过允许主动维护和设计调整来提高系统的安全性和寿命.