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相关概念视频

Errors in Taping01:18

Errors in Taping

50
Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...
50
Taping Over Different Ground Profiles01:12

Taping Over Different Ground Profiles

48
Taping over varying ground profiles requires careful adaptation to achieve accurate measurements. On smooth, level ground with minimal vegetation, the tape can rest directly on the ground. Here, the taping team, typically consisting of a head and a rear tapeman, coordinates their positions with clear communication. The rear tapeman holds the tape at the starting point and guides the head tapeman toward a range pole placed beyond the endpoint, using hand or voice signals to ensure alignment.On...
48
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.2K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.2K
Leaky Scanning02:28

Leaky Scanning

5.2K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.2K
Mismatch Repair01:36

Mismatch Repair

40.3K
Overview
40.3K
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

1.7K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
1.7K

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相关实验视频

Updated: Jul 21, 2025

Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
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Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole

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用于管道缺陷检测的时间逆转技术.

Muhammad Waqar1, Moez Louati1, Mohamed S Ghidaoui1

  • 1Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Sai Kung, New Territories, Hong Kong.

Water research
|July 27, 2023
PubMed
概括

本研究介绍了一种时间逆转 (TR) 技术,用于检测管道缺陷,如泄漏和堵塞,使用短暂波. 该方法准确地定位,分类和估计离散管道缺陷的大小,即使信号噪声比低.

科学领域:

  • 工程 工程师 工程师 工程师
  • 应用物理 应用物理
  • 信号处理 信号处理

背景情况:

  • 压力流体填充管道是关键基础设施.
  • 检测泄漏和堵塞等离散缺陷对于管道完整性至关重要.
  • 现有的方法可能在复杂的管道系统中难以获得准确性和稳定性.

研究的目的:

  • 提出和验证一种新的时间逆转 (TR) 技术,用于检测管道中的离散缺陷.
  • 为了将缺陷定位与缺陷大小脱而出.
  • 通过截断压力头信号来提高检测准确性和稳定性.

主要方法:

  • 利用一维波形方程进行缺陷检测.
  • 采用活跃的短暂波来进行管道分析.
  • 进行数值模拟和实验室实验以验证.
  • 对波速和信号与噪声比 (SNR) 进行了灵敏度分析.

主要成果:

  • 准确地定位,分类和对单个,多个和混合类型缺陷 (泄漏和阻塞) 的尺寸估计.
  • 在弹性和粘性弹性管道系统中成功验证.
  • 即使在信号噪声比低至0dB的情况下,也证明了稳定性.
关键词:
缺陷检测 检测缺陷检测 检测缺陷检测图像成像是一种成像.时间逆转的时间逆转.供应水供应水供应水供应水供应一个水.

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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

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结论:

  • 拟议的时间逆转技术为管道缺陷检测提供了强大而准确的解决方案.
  • 该方法有效地处理复杂的缺陷场景和不同的管道材料性能.
  • 信号截断提高了缺陷表征的可靠性.