Transfer of measurement uncertainties to reduce the effort required for proof of suitability (MessAgE)

每一种测量都具有内在的不确定性。如果进一步使用不确定的测量数据，导出的报表也会受到不确定性的影响，并可能导致错误的决策。如果生产的特性接近规格限值，并且在检查过程中测量不确定度过高，则无法确定特性是否在规格范围内或范围外。这可能会导致零件处于规范范围内，并在检查过程中被分类（α误差），反之亦然（β误差）。由于在测量数据收集过程中，如果不了解测量不确定度，就无法确定并控制错误决策的风险，因此没有测量不确定度规范的测量是没有价值的。为了防止经济上有害的错误决策，在生产环境中存在许多标准和指南，这些标准和指南要求确定测量不确定度，并为测量和检查过程的适用性设置限制。由于数字产品和资源（包括加工中心、装配系统）的联网以及对网络物理系统的关注，所使用的传感器和测量过程的数量不断增加。随着检测过程的数量和复杂性的增加，无论行业如何，相应的适用性证明的努力都在增加。在申请的研究项目中，正在制定一个程序，以减少确定测量不确定性和提供适用性证明所需的工作。为此，首先开发了量化测量过程的数学/几何、技术和功能相似性的方法。基于相似性评估，提出了一种将测量不确定度从一个测量过程转移到其他测量过程的方法。通过考虑所产生的传递误差，确保了测量不确定度的传递。其结果是一个通用的相似性定义的测量过程和一个程序，用于转移已知的不确定性现有的测量过程中，以类似的测量过程，以减少确定测量不确定性的努力。

Each measurement is inherently uncertain. If uncertain measurement data are further used, derived statements are also subject to uncertainty and can lead to erroneous decisions. If a produced characteristic is close to the specification limits and if the measurement uncertainty is too high during inspection, it cannot be determined with certainty whether the characteristic lies within or outside the specification. This can lead to parts lying within the specification and being sorted out during inspection (α error) or vice versa (β error). Since the risk of wrong decisions cannot be determined and thus cannot be controlled without knowledge of the measurement uncertainty during measurement data collection, measurements without measurement uncertainty specifications are worthless. In order to prevent economically harmful wrong decisions, numerous standards and guidelines exist in the production environment, which require the determination of measurement uncertainty and set limits for the suitability of measurement and inspection processes. Due to the networking of digital products and resources (including machining centers, assembly systems) and the associated focus on cyberphysical systems, the number of sensors and measurement processes used is constantly increasing. With the increasing number and complexity of inspection processes, the effort for corresponding proofs of suitability is growing regardless of the industry. In the research project applied for, a procedure is being developed which reduces the effort required for determining measurement uncertainty and for providing proof of suitability. For this purpose, methods are first developed which quantify the mathematical/geometric, technological and functional similarity of measurement processes. Based on the similarity assessment, a method is developed to transfer measurement uncertainties from one measurement process to other measurement processes. By considering the resulting transfer error, the transfer of the measurement uncertainty is secured. The result is a generic similarity definition for measurement processes and a procedure for transferring known uncertainties of existing measurement processes to similar measurement processes in order to reduce the effort for determining the measurement uncertainty.