The objective of this article is to set forth a computationally efficient methodology to quantify the effects and assess the relevance of geometric and material uncertainty on a permanent magnet synchronous machine (PMSM), based on a nonlinear finite-element model (FEM). Our methodology follows the theory of Gaussian process regression and principal component analysis to build a computationally inexpensive surrogate model that replaces the FEM. Uncertainty quantification and sensitivity analysis studies focus on the electromagnetic torque, flux linkage, and core loss of the PMSM.

中文翻译：

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永磁同步电机非线性有限元模型的不确定性量化和灵敏度分析


本文的目的是提出一种计算高效的方法，基于非线性有限元模型 (FEM) 来量化永磁同步电机 (PMSM) 上的几何和材料不确定性的影响并评估其相关性。我们的方法遵循高斯过程回归和主成分分析理论，以构建一个计算成本低廉的替代模型来取代有限元法。不确定性量化和灵敏度分析研究重点关注 PMSM 的电磁扭矩、磁链和铁损。