maximum residual systematic errors

简明释义

最大剩余系统误差

英英释义

例句

1.After several iterations, we achieved a maximum residual systematic errors 最大残余系统误差 that was acceptable for our quality standards.

经过几次迭代，我们达到了一个符合我们质量标准的 最大残余系统误差 最大残余系统误差。

2.In the calibration process, we need to ensure that the maximum residual systematic errors 最大残余系统误差 are minimized to maintain accuracy.

在校准过程中，我们需要确保 最大残余系统误差 最大残余系统误差 被最小化以保持准确性。

3.The researchers reported a maximum residual systematic errors 最大残余系统误差 of less than 1% in their findings.

研究人员报告他们的发现中 最大残余系统误差 最大残余系统误差 小于1%。

4.To improve the model, we must analyze the maximum residual systematic errors 最大残余系统误差 from previous simulations.

为了改进模型，我们必须分析之前模拟中的 最大残余系统误差 最大残余系统误差。

5.The engineering team set strict guidelines to limit the maximum residual systematic errors 最大残余系统误差 in the final product.

工程团队设定严格的指导方针，以限制最终产品中的 最大残余系统误差 最大残余系统误差。

作文

In the field of science and engineering, precision is of utmost importance. Researchers and engineers strive to minimize errors in their measurements and calculations to ensure that their results are accurate and reliable. One crucial aspect of this endeavor is understanding and managing what we refer to as maximum residual systematic errors. These errors can significantly impact the outcomes of experiments and the performance of systems, making it essential for professionals in these fields to grasp their implications fully.Systematic errors are consistent, repeatable errors associated with faulty equipment or a flawed experimental design. Unlike random errors, which vary unpredictably, systematic errors tend to skew results in a particular direction. The term maximum residual systematic errors specifically refers to the largest remaining systematic error after all possible corrections have been made. This concept is critical because it provides a benchmark for the accuracy of measurements and helps researchers identify how close their results come to the true values.To illustrate this, consider a scenario in which a team of scientists is conducting an experiment to measure the gravitational acceleration on Earth. They use a high-precision pendulum system to perform their measurements. Despite their best efforts to calibrate their instruments and account for environmental factors, they may still encounter maximum residual systematic errors due to factors like air resistance, friction, or even slight misalignments in the setup. Even after making adjustments, the scientists must acknowledge that there will be some level of error that cannot be eliminated entirely.Understanding maximum residual systematic errors is vital for several reasons. First, it allows researchers to quantify the uncertainty in their measurements. By identifying the maximum potential error, scientists can better communicate the reliability of their findings to others in the field. This transparency is crucial for building trust in scientific research and ensuring that subsequent studies can build upon solid foundations.Moreover, recognizing these errors enables engineers to design more robust systems. For example, in aerospace engineering, where safety is paramount, engineers must account for maximum residual systematic errors when designing flight control systems. By understanding the limitations of their measurements, they can implement redundancies and fail-safes that mitigate the risks associated with these errors, ultimately leading to safer and more reliable aircraft.In addition, the concept of maximum residual systematic errors plays a significant role in quality control processes across various industries. Manufacturers often rely on precise measurements to ensure that their products meet specific standards. By acknowledging the maximum potential errors in their measurements, they can adjust their production processes to minimize defects and improve overall product quality.In conclusion, the understanding of maximum residual systematic errors is a fundamental aspect of scientific inquiry and engineering practice. It emphasizes the importance of precision and accuracy in measurements while also highlighting the inherent limitations that come with any experimental or design process. By acknowledging and managing these errors, researchers and engineers can enhance the reliability of their work and contribute to advancements in their respective fields. Ultimately, a thorough comprehension of maximum residual systematic errors not only fosters scientific integrity but also drives innovation and improvement in technology and industry.

在科学和工程领域，精确性至关重要。研究人员和工程师努力减少测量和计算中的错误，以确保他们的结果准确可靠。这一努力的一个关键方面是理解和管理我们所称的最大残余系统误差。这些误差会显著影响实验结果和系统性能，因此让这些领域的专业人士充分掌握其含义是非常重要的。系统误差是与故障设备或有缺陷的实验设计相关的一致的、可重复的错误。与随机误差不同，随机误差是不可预测地变化的，系统误差往往会将结果向特定方向偏移。术语最大残余系统误差特指在进行所有可能的修正后，仍然存在的最大剩余系统误差。这个概念至关重要，因为它为测量的准确性提供了基准，并帮助研究人员识别他们的结果与真实值的接近程度。为了说明这一点，考虑一个场景，一个科学家团队正在进行实验以测量地球上的重力加速度。他们使用高精度的摆系统进行测量。尽管他们尽力校准仪器并考虑环境因素，他们仍可能遇到由于空气阻力、摩擦甚至微小的设备对齐不当而导致的最大残余系统误差。即使在进行调整后，科学家们也必须承认，总会有一些无法完全消除的误差水平。理解最大残余系统误差至关重要，原因有几个。首先，它允许研究人员量化他们测量中的不确定性。通过识别最大潜在误差，科学家们可以更好地向同行传达他们发现的可靠性。这种透明度对于建立科学研究的信任至关重要，并确保后续研究能够建立在坚实的基础上。此外，认识到这些误差使工程师能够设计出更强大的系统。例如，在航空航天工程中，安全至关重要，工程师在设计飞行控制系统时必须考虑最大残余系统误差。通过理解他们测量的局限性，他们可以实施冗余和安全措施，以减轻与这些误差相关的风险，从而最终导致更安全、更可靠的飞机。另外，最大残余系统误差的概念在各个行业的质量控制过程中也发挥着重要作用。制造商通常依赖精确的测量来确保其产品符合特定标准。通过承认其测量中的最大潜在误差，他们可以调整生产过程，以最小化缺陷并提高整体产品质量。总之，理解最大残余系统误差是科学探究和工程实践的基本方面。它强调了测量中精确性和准确性的重要性，同时也突显了任何实验或设计过程所固有的局限性。通过承认和管理这些误差，研究人员和工程师能够增强他们工作的可靠性，并推动各自领域的进步。最终，对最大残余系统误差的透彻理解不仅促进了科学诚信，还推动了技术和行业的创新与改进。