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相关概念视频

Eccentric Loading01:16

Eccentric Loading

422
Eccentric loading is a crucial concept in the study of structural engineering and mechanics, particularly when analyzing the stability and stress distribution in columns. Unlike centric loading, where the force is applied along the centroidal axis, causing uniform compression, eccentric loading occurs when a force is applied off-center. This off-center application introduces not only direct compressive stress but also bending stress, significantly influencing the column's behavior under...
422
Eccentric Axial Loading in a Plane of Symmetry01:16

Eccentric Axial Loading in a Plane of Symmetry

220
Eccentric axial loading occurs when an axial load is applied away from the centroidal axis of a structural member. This scenario is common in engineering, where structural elements may not be directly aligned due to various design or functional requirements.
220
Discrete Fourier Transform01:15

Discrete Fourier Transform

320
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...
320
Stress Concentrations in Circular Shafts01:18

Stress Concentrations in Circular Shafts

200
Consider the elastic torsion formula, which applies to a circular shaft with a consistent cross-section. This formula assumes that the shaft's ends are loaded with rigid plates firmly attached. However, in many cases, torques are applied to the shaft through mechanisms like flange couplings or gears, which are connected by keys inserted into keyways. This application method modifies the stress distribution near the point of torque application, causing it to deviate from the distributions...
200
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

937
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
937
Fast Fourier Transform01:10

Fast Fourier Transform

376
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
376

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相关实验视频

Updated: Jul 18, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

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Published on: August 30, 2013

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基于 SFT 和区域 DFT 的滚动偏心检测和应用.

Kexin Yang1, Gang Zheng1,2, Zhe Yang1,2

  • 1Faculty of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
概括

使用稀疏里叶变换 (SFT) 和区域DFT的新方法快速识别了滚动异心差扰. 这提高了在线识别效率,使得可以精确控制条纹厚度.

关键词:
证券交易所的金融工具.异常干扰的补偿是异常干扰.区域的 DFT 是一个区域的 DFT.

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Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
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相关实验视频

Last Updated: Jul 18, 2025

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科学领域:

  • 机械工程 机械工程
  • 信号处理 信号处理

背景情况:

  • 卷轴异心率会引起高频信号,导致条纹厚度偏差.
  • 鉴定这些干扰是具有挑战性的,因为它们的复杂性质.

研究的目的:

  • 开发一种快速而准确的方法来识别滚动异心率信号的来源.
  • 创建一个数学模型,用于检测和补偿滚动异心率干扰.

主要方法:

  • 提出了一种结合稀疏里叶变换 (SFT) 和区域离散里叶变换 (DFT) 的新方法.
  • 使用SFT进行高效的频域分析和区域DFT用于振幅和相位识别.
  • 基于已知的卷径实施在线信号频谱识别.

主要成果:

  • 该方法准确地识别了滚动异心率干扰的来源.
  • 在线识别效率提高了3000倍以上.
  • 在现场证明有效地弥补异常性干扰.

结论:

  • 拟议的SFT和区域DFT方法显著提高在线检测和识别滚动异心率信号.
  • 这种方法提高了工程应用的效率,并最终提高了条带出口厚度的准确性.