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The simulation of electric rotating machines is both computationallyexpensive and memory intensive. To overcome these costs, model order reductiontechniques can be applied. The focus of this contribution is especially onmachines that contain non-symmetric components. These are usually introducedduring the mass production process and are modeled by small perturbations inthe geometry (e.g., eccentricity) or the material parameters. While model orderreduction for symmetric machines is clear and does not need special treatment,the non-symmetric setting adds additional challenges. An adaptive strategybased on proper orthogonal decomposition is developed to overcome thesedifficulties. Equipped with an a posteriori error estimator the obtainedsolution is certified. Numerical examples are presented to demonstrate theeffectiveness of the proposed method.

Model Order Reduction for Rotating Electrical Machines