Implementation of Monte Carlo Method on Electromagnetic Launcher Simulator

A Comparative Study on Estimation Methods for Statistical Moments of Electromagnetic Performance Functions

“…Therefore, it is necessary to develop accurate and efficient numerical methods, which can estimate the two statistical moments of the performance function and their sensitivities. In accordance with this demand, various attempts such as worst-case scenario, experimental design technique, Monte Carlo Simulation (MCS), dimension reduction method (DRM) and so on have been made in our community to date [1][2][3][4][5][6][7][8][9]. They all focus on improving the product quality through minimizing variability of the output performance function.…”

“…Among them, it has been revealed that only two numerical techniques of MCS and DRM can quantitatively assess the first two statistical moments of EMrelated performance functions [4][5][6][7]. However, both of them have individual merits and demerits when applied to real-world engineering problems.…”

Assessment of Statistical Moments of a Performance Function for Robust Design of Electromagnetic Devices

“…As an effort to conduct RDO of EM systems, several approaches, such as the worst case analysis, gradient index, Taguchi method, and Monte Carlo simulation (MCS), have been attempted so far [1]- [4]. To improve the performance quality, the first three methods use a common design strategy, where the relative amount (difference or sensitivity) of output variations is minimized under the assumption of a small change of system input.…”