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相关概念视频

Discrete Fourier Transform01:15

Discrete Fourier Transform

195
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...
195
Eddy Currents01:25

Eddy Currents

1.5K
Since eddy currents occur only in conductors, magnets can separate metals from other materials. For example, in a recycling center, trash is dumped in batches down a ramp, beneath which lies a powerful magnet. Conductors in the trash are slowed by eddy currents, while nonmetals in the trash move on, separating from the metals. This works for all metals, not just ferromagnetic ones.
Other major applications of eddy currents appear in metal detectors and the braking systems of trains and roller...
1.5K
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

199
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
199
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

237
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
237
Magnetic Damping01:17

Magnetic Damping

404
Eddy currents can produce significant drag on motion, called magnetic damping. For instance, when a metallic pendulum bob swings between the poles of a strong magnet, significant drag acts on the bob as it enters and leaves the field, quickly damping the motion.
If, however, the bob is a slotted metal plate, the magnet produces a much smaller effect. When a slotted metal plate enters the field, an emf is induced by the change in flux; however, it is less effective because the slots limit the...
404
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

21
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
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相关实验视频

Updated: May 17, 2025

Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
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Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors

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一种基于弗里埃变换的离散的信号处理方法,用于流检测传感器.

Songhua Huang1,2, Maocheng Hong3, Ge Lin1,2

  • 1CGN Inspection Technology Co., Ltd., 191 Yangpu Road, Suzhou 215012, China.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用离散里埃变换 (DFT) 信号处理的先进的旋流非破坏性测试 (NDT) 框架. 它增强了核部件的缺陷特征,改善了信号质量和3D成像.

关键词:
阵列流传感器 阵列流传感器分散的里埃转换 (DFT)厄迪电流传感器传感器非破坏性测试 (NDT) 是一种非破坏性测试.信号处理 信号处理 信号处理频谱的泄漏情况

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相关实验视频

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科学领域:

  • 材料科学 材料科学 材料科学
  • 电气工程 电气工程
  • 核工程 核工程是指核工程.

背景情况:

  • 流非破坏性测试 (NDT) 对于核部件的检查至关重要.
  • 传统的NDT方法在精确的缺陷表征和信号质量方面面临挑战.
  • 提高信号完整性是提高核应用中NDT可靠性的关键.

研究的目的:

  • 开发一个基于里叶变换 (DFT) 的离散信号处理框架,用于流的无核电测试.
  • 提高信号质量,以准确地描述关键核部件的缺陷.
  • 引入硬件创新,以提高NDT性能.

主要方法:

  • 实施了基于DFT的信号处理框架,严格匹配周期,以减轻频谱泄漏.
  • 使用了高分辨率的24位模拟数字转换器 (ADC) 硬件架构.
  • 采用6x6毫米的特定应用集成电路 (ASIC) 用于阵列传感器和高斯过.

主要成果:

  • 在20 Hz-1 MHz频率范围内实现了≤0.07°的相线性误差.
  • 与传统的16位ADC相比,证明了全系统噪声的降低.
  • 为核电站管道生成更光滑的信号波形和更优质的3D缺陷成像.

结论:

  • 集成的DFT信号处理,硬件优化和阵列传感提供了一个强大的框架,用于精确的缺陷定位和表征.
  • 数字化方法显著提高了结果的解释性和检查性能.
  • 现场测试证实了稳定的性能和明确的3D缺陷分布,性能优于传统技术.