Reduction of Random Variables in EMC Uncertainty Simulation Model

To improve the reliability of simulation results, uncertainty analysis methods were developed in Electromagnetic Compatibility (EMC) field. Random variables are used to describe random events. The more you have, less efficient is. Therefore, many high-accuracy have problem dimensional disaster, which means calculation efficiency decreases exponentially with increase number variables. A variable reduction strategy based on sensitivity method is proposed this paper, so as computational global method.