measurement deviation

简明释义

测定偏差

英英释义

例句

1.The engineer noticed a significant measurement deviation 测量偏差 in the temperature readings during the experiment.

工程师注意到实验过程中温度读数有显著的测量偏差。

2.After analyzing the data, they found a consistent measurement deviation 测量偏差 across all samples.

分析数据后，他们发现所有样本中都有一致的测量偏差。

3.To ensure accuracy, we need to calibrate the instruments to minimize measurement deviation 测量偏差.

为了确保准确性，我们需要校准仪器以最小化测量偏差。

4.The quality control team reported a measurement deviation 测量偏差 that exceeded acceptable limits.

质量控制团队报告的测量偏差超过了可接受的限制。

5.The measurement deviation 测量偏差 in the final report raised concerns among the stakeholders.

最终报告中的测量偏差引起了利益相关者的关注。

作文

In the realm of science and engineering, accurate data collection is paramount. One concept that often arises in discussions about data accuracy is measurement deviation, which refers to the difference between a measured value and the true value of the quantity being measured. Understanding this term is essential for anyone involved in research or quality control processes. Measurement deviation can occur due to various factors, including instrument calibration errors, environmental influences, and human error. For instance, if a thermometer is not calibrated correctly, it may consistently show a temperature that is higher or lower than the actual temperature. This discrepancy is an example of measurement deviation. In practical applications, measurement deviation can have significant implications. In manufacturing, for example, if the dimensions of a product are not measured accurately, it can lead to parts that do not fit together properly, resulting in wasted materials and increased costs. Similarly, in the medical field, inaccurate measurements can affect diagnoses and treatment plans, potentially endangering patients' lives. Therefore, it is crucial for professionals to minimize measurement deviation through rigorous testing and calibration procedures.To reduce measurement deviation, one effective strategy is to employ statistical methods. By analyzing data sets and calculating averages, researchers can identify outliers and assess the reliability of their measurements. Additionally, using high-quality instruments that are regularly calibrated can help ensure more accurate results. Training personnel on proper measurement techniques is also vital, as human error can significantly contribute to measurement deviation. Moreover, understanding the causes of measurement deviation allows scientists and engineers to develop better methodologies. For instance, if temperature fluctuations in a laboratory environment are found to affect the accuracy of measurements, steps can be taken to control the environment more effectively. This could involve using climate control systems or conducting experiments in a more stable setting. In conclusion, measurement deviation is a critical concept in the fields of science and engineering that highlights the importance of accurate data collection. Recognizing the factors that contribute to measurement deviation and implementing strategies to minimize it can lead to more reliable results. Whether in manufacturing, healthcare, or scientific research, understanding and addressing measurement deviation is essential for achieving success and ensuring safety. As we continue to advance in technology and methodology, the pursuit of precision in measurements will remain a fundamental aspect of progress in various fields.

在科学和工程领域，准确的数据收集至关重要。一个常在讨论数据准确性时出现的概念是测量偏差，它指的是测量值与被测量量的真实值之间的差异。理解这个术语对于任何参与研究或质量控制过程的人来说都是必不可少的。测量偏差可能由于多种因素而发生，包括仪器校准错误、环境影响和人为错误。例如，如果温度计没有正确校准，它可能会持续显示比实际温度高或低的温度。这种差异就是测量偏差的一个例子。在实际应用中，测量偏差可能具有重要的影响。在制造业中，例如，如果产品的尺寸没有被准确测量，可能会导致部件无法正确配合，从而浪费材料并增加成本。同样，在医疗领域，不准确的测量可能会影响诊断和治疗计划，潜在地危及患者生命。因此，专业人员必须通过严格的测试和校准程序来最小化测量偏差。减少测量偏差的一个有效策略是采用统计方法。通过分析数据集并计算平均值，研究人员可以识别异常值并评估测量的可靠性。此外，使用高质量且定期校准的仪器可以帮助确保更准确的结果。对人员进行正确测量技术的培训也至关重要，因为人为错误可能显著影响测量偏差。此外，理解测量偏差的原因使科学家和工程师能够开发更好的方法论。例如，如果发现实验室环境中的温度波动会影响测量的准确性，可以采取措施更有效地控制环境。这可能涉及使用气候控制系统或在更稳定的环境中进行实验。总之，测量偏差是科学和工程领域中的一个关键概念，突显了准确数据收集的重要性。认识到导致测量偏差的因素并实施减少其影响的策略可以带来更可靠的结果。无论是在制造、医疗还是科学研究中，理解和解决测量偏差对于实现成功和确保安全至关重要。随着我们在技术和方法论上的不断进步，追求测量的精确性将继续成为各个领域进步的基本方面。