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相关概念视频

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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 distances...

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相关实验视频

Updated: Jun 29, 2026

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method
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微分交流电场测量与深度学习用于裂检测和评估.

Chenxu Fan1,2, Zhenhu Jin1,2, Jiamin Chen1,2,3

  • 1State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.

Micromachines
|March 27, 2025
PubMed
概括

一个新的微分道磁阻 (TMR) 探头与深度学习相结合,提供了改进的裂检测. 这种具有成本效益的方法提高了信号质量,并准确地测量了用于结构完整性评估的裂尺寸.

关键词:
交替电流场测量场测量深度学习是一种深度学习.非破坏性测试是指非破坏性测试.道中的磁电阻.

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Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
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Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
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相关实验视频

Last Updated: Jun 29, 2026

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科学领域:

  • 材料科学 材料科学 材料科学
  • 非破坏性测试 不破坏性测试
  • 人工智能的人工智能

背景情况:

  • 裂纹检测对于结构完整性至关重要.
  • 传统方法面临着噪音和升空效应的挑战.
  • 准确的裂尺寸评估通常是困难的.

研究的目的:

  • 引入一种基于道磁阻 (TMR) 的新型差分ACFM探头,用于增强裂纹检测.
  • 整合深度学习,以精确评估裂尺寸.
  • 为了减轻TMR-ACFM传感器中升起效应和外部噪声.

主要方法:

  • 微型差分TMR探头的制造,采用惠斯通桥架配置.
  • 开发和培训一个卷积神经网络 (CNN) 与卷积块注意模块 (CBAM) 用于裂分析.
  • 实验验证将差分探头与传统探头进行比较.

主要成果:

  • 不同的TMR探测器表明质量因子的改善超过一个数量级.
  • 与传统探测器相比,信号噪声比率提高了超过3dB.
  • CNN+CBAM网络实现了高精度裂尺寸预测,相对误差较低 (例如,长度为0.201%,深度为0.709%,宽度为7.224%).

结论:

  • 拟议的微分TMR-ACFM探测器与深度学习集成,为裂检测提供了具有成本效益和高性能的解决方案.
  • 该系统显著提高了信号质量,并使裂尺寸的定量评估成为可能.
  • 这种方法显示了先进的结构健康监测应用的巨大潜力.