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Linear time-invariant Systems01:23

Linear time-invariant Systems

263
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...
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Modes of Standing Waves - I01:03

Modes of Standing Waves - I

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A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This...
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Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

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The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx  and a shunt capacitance CΔx.
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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,...
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Discrete Fourier Transform01:15

Discrete Fourier Transform

303
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
303
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

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The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
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相关实验视频

Updated: Jul 11, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

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基于Lamb波的结构损坏检测:使用协同集成的时间序列方法.

Phong B Dao1

  • 1Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, Al. Mickiewicza 30, 30-059 Krakow, Poland.

Materials (Basel, Switzerland)
|November 14, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种使用Lamb波数据进行结构损伤评估的新型协同集成方法,克服了复杂的传播和温度效应的局限性. 该方法有效地检测和区分结构中的损伤状况,增强结构健康监测.

关键词:
羊羔的波浪在浪叫着.板是一种板.共同整合 共同整合检测损坏检测损坏的检测.结构健康监测 结构健康监测温度效应的温度效应是温度的影响.时间序列分析分析时间序列分析

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相关实验视频

Last Updated: Jul 11, 2025

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科学领域:

  • 材料科学与工程 材料科学与工程
  • 机械工程 机械工程
  • 非破坏性测试 不破坏性测试

背景情况:

  • 羊羔波被广泛用于结构损坏检测,但面临实际限制.
  • 挑战包括复杂的波传播模式和影响测量的温度变化.
  • 现有的方法难以直接解释Lamb波响应对结构健康的直接解释.

研究的目的:

  • 为结构损坏评估提出一种新的,基于二步协同集成的计算程序.
  • 为了利用Lamb波数据作为时间序列,以共同的趋势进行损害评估.
  • 开发一种耐温度波动的方法,以改善结构健康监测 (SHM).

主要方法:

  • 采用了两步的共同整合分析程序.
  • 羔羊波时间序列根据常见的温度趋势进行分组.
  • 对每个群体都进行了共同整合分析,创建了损害特定的模型.
  • 序列和残余的几何和统计特征 (形状,振幅,方差) 被提取用于损坏检测.

主要成果:

  • 协同整合方法成功地检测并区分无损和损坏的状态.
  • 该方法在温度波动下使用来自板的Lamb波浪数据进行了验证.
  • 提出的技术在处理温度变化等环境变化方面表现出有效性.

结论:

  • 这种基于协同集成的新方法为基于Lamb波的损害检测提供了强大的解决方案.
  • 这种方法有效地解决了复杂的波形模式和温度变化所带来的局限性.
  • 该方法适用于处理显示共同环境或操作趋势的数据的各种SHM系统.