Investigating the impact of tolerance-affected parameters on the performance of electric machines gets evermore important. A major reason is that designs are optimized and thus are on or close to boundaries regarding performance constraints. Moreover, highly-utilized designs are obtained due to optimization of cost or specific measures like torque or power density following increased tolerance sensitiveness. To find the best tradeoff regarding rated performance and robustness, appropriate measures should be incorporated to optimization problems. Often, computational effort acts as barrier for succesful implementation, as numerous design parameters feature considerable variation. To minimize this effort, this work is about screening and quantifying the importance of tolerance-affected parameters. By contrast to classical sensitivity analysis, the likelihood of parameters to change must be considered. Different measures are introduced and compared by applying them to an electric machine scenario. The detailedness, accuracy, and fluctuation of the prediction is evaluated. At the best, the analysis does not require specific data point arrangements, e.g, orthogonal sets. The derived results can be utilized for determining most influential parameters and to focus on those during optimization. The overall computational effort can thus be signficantly reduced and tolerance analyses can be more easily incorporated to optimization problems.

中文翻译：

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量化受公差影响的参数对永磁同步电机性能的影响

调查受公差影响的参数对电机性能的影响变得越来越重要。一个主要原因是设计经过优化，因此在性能约束方面处于或接近边界。此外，由于在提高容差敏感性之后优化了成本或特定措施（如扭矩或功率密度），因此获得了高度利用的设计。为了找到关于额定性能和鲁棒性的最佳权衡，应将适当的措施纳入优化问题。通常，计算工作是成功实施的障碍，因为许多设计参数具有相当大的变化。为了尽量减少这种工作，这项工作是关于筛选和量化受公差影响的参数的重要性。与经典的敏感性分析相比，必须考虑参数改变的可能性。通过将不同的措施应用于电机场景来介绍和比较不同的措施。评估预测的详细性、准确性和波动性。充其量，分析不需要特定的数据点排列，例如正交集。导出的结果可用于确定最有影响的参数，并在优化过程中关注那些参数。因此，可以显着减少整体计算工作量，并且可以更轻松地将公差分析纳入优化问题。该分析不需要特定的数据点排列，例如正交集。导出的结果可用于确定最有影响的参数，并在优化过程中关注那些参数。因此，可以显着减少整体计算工作量，并且可以更轻松地将公差分析纳入优化问题。该分析不需要特定的数据点排列，例如正交集。导出的结果可用于确定最有影响的参数，并在优化过程中关注那些参数。因此，可以显着减少整体计算工作量，并且可以更轻松地将公差分析纳入优化问题。