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相关概念视频

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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Errors in Taping01:18

Errors in Taping

290
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...
290
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

99.3K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
99.3K
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

9.4K
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...
9.4K
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

373
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
373
Adjusting a Traverse01:12

Adjusting a Traverse

343
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
343

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相关实验视频

Updated: Jan 8, 2026

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

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Published on: July 25, 2025

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基于错误位置依赖的灵敏度分析的超精密机床的重点几何错误识别方法.

Zengya Zhao, Ming Huang, Kai Xu

    Optics express
    |December 19, 2025
    PubMed
    概括

    本研究介绍了超精密机床的错误位置依赖灵敏度分析 (EPDSA). 通过考虑它们的位置依赖性,EPDSA准确地识别了关键的几何错误,提高了轮准确度和表面质量.

    科学领域:

    • 制造业 工程 制造工程
    • 计量学 计量学是一门学科.
    • 光学工程是指光学工程.

    背景情况:

    • 超精密机床中的几何错误严重影响光学元件的精度和表面质量.
    • 复杂的错误源及其合传播使得错误识别具有挑战性.
    • 传统的灵敏度分析 (SA) 方法往往忽略了位置依赖的错误特征.

    研究的目的:

    • 开发一种用于识别超精密机床中关键几何错误的新方法.
    • 通过结合位置依赖错误分析来解决传统SA的局限性.
    • 提高针对性补偿策略的错误识别的准确性和可靠性.

    主要方法:

    • 提出了一个错误位置依赖敏感性分析 (EPDSA) 方法.
    • 根据它们的位置,动态调整几何误差的输入范围.
    • 计算了整个工作空间的灵敏度指数,以捕捉空间变化.

    主要成果:

    • EPDSA有效地捕获了敏感度指数的显著空间变化.
    • 与传统的SA方法相比,确定了不同的关键几何错误.
    • 关键错误比率 (KER) 显示EPDSA识别的错误占总错误的0.55,而传统方法的0.39.

    更多相关视频

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    Last Updated: Jan 8, 2026

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    Published on: July 25, 2025

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    Picometer-Precision Atomic Position Tracking through Electron Microscopy
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    Picometer-Precision Atomic Position Tracking through Electron Microscopy

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    结论:

    • EPDSA为超精密机床提供了更准确,更可靠的灵敏度评估.
    • 该方法为有效的错误补偿策略提供了有针对性的指导.
    • 提高了关键几何错误的识别,从而提高了光学元件的轮精度和表面质量.