期刊
IEEE TRANSACTIONS ON ENERGY CONVERSION
卷 35, 期 4, 页码 2152-2161出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEC.2020.3001914
关键词
Finite element analysis; Steel; Uncertainty; Computational modeling; Rotors; Lamination; Punching; Finite-element analysis; Gaussian processes; permanent magnet machines; principal component analysis; sensitivity analysis; uncertain systems
资金
- Ford Motor Company [18013807]
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.
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