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所在平台: Udemy |
课程主页: https://www.udemy.com/course/estimation-of-measurement-uncertainty/
课程评论：没有评论
**课程名称：测量不确定度估算** **课程概述：** 本课程旨在帮助学生理解测量不确定度的重要性，识别影响测量结果的各种因素，并掌握计算测量不确定度的分步方法。实验室客户对准确可靠的测量结果有很高期望。每次测量都是对正确结果的估算。测试和校准实验室需要通过控制影响测量的不确定度因素来确保结果的可靠性。 **课程重点：** * **测量不确定度的重要性：** 解释为何准确性和可重复性/可复现性是评价测量结果的关键，以及不确定度如何反映结果的可能变异范围。 * **影响测量不确定度的因素：** 识别和分析可能影响测量结果的各种因素。 * **控制测量影响因素的方法：** 讨论如何控制这些因素以减小测量不确定度。 * **测量不确定度的计算：** 提供详细的步骤和方法来估算测量不确定度。 * **不确定度的表达：** 讲解不确定度通常与置信区间一同表达。例如，95%置信区间意味着在95%的重复测量中，结果不会超出声明的扩展不确定度范围。扩展因子取决于置信区间。 * **不确定度的应用：** 探讨在边界结果（测试实验室）和每次校准结果（校准实验室）中声明不确定度的必要性，以及高不确定度与客户风险之间的关系。 **核心价值：** 掌握测量不确定度的估算方法，对于提升实验室结果的可靠性、满足客户期望以及降低商业风险至关重要。
Laboratory customers expect accurate and reliable results. Any measurement by any laboratory is estimation of correct result. Testa and calibration labs need to ensure lesser uncertainty in measurement by controlling factors affecting measurement. This course will help students to understand importance of measurement uncertainty, identify factors responsible for uncertainty and step by step approach to calculate uncertainty. Customers expect lab results to be accurate and reliable. Results are considered accurate and reliable when those are repeatable / reproducible in different working conditions at different times. estimated uncertainty indicates probable variation in the results. Lesser the variation, better is accuracy and reliability. This course discusses about various factors which can affect measurement results and ways to control same. Test laboratories are supposed to declare uncertainty in case of borderline results whereas calibration laboratories are supposed to declare uncertainty for each calibration result. Higher the uncertainty higher is risk to customer i.e. accepted product/ result may be non-acceptable. Hence it is always a good practice to ask laboratory about systematic result of uncertainty estimation. Uncertainty is always expressed along with confidence intervals. at 95% confidence interval lab is sure that in 95% of cases of repetitive measurements results will not vary beyond declared expanded uncertainty. Expansion factor depends on confidence interval.
