Uncertainty quantification and sensitivity analysis in electrical machines with stochastically varying machine parameters KU Leuven
© 2015 IEEE. Electrical machines that are produced in mass production suffer from stochastic deviations introduced during the production process. These variations can cause undesired and unanticipated side-effects. Until now, only worst case analysis and Monte Carlo simulation have been used to predict such stochastic effects and to reduce their influence on the machine behavior. However, these methods have proven to be either inaccurate or very ...