Design of electric machines with manufacturing uncertainties
The manufacturing process of electric machines (EMs) can lead to deviations between expected and observed performance. One cause of these deviations is the inherent input space uncertainty of the EM model employed during the design stage. Understanding how this uncertainty affects the performance of EMs is imperative to develop robust design techniques. To investigate these effects, in this work, a permanent magnet synchronous machine (PMSM) is selected as the central case study. The objective of this project is to set forth a computationally efficient methodology to quantitatively characterize the effects and relevance of the input space uncertainty on multiple quantities of interest of a PMSM.
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