Optimization of immunity testings in a mode tuned reverberation chamber with Monte Carlo simulations

In this article, we show that an estimation of the probability of failure of a device under test can provide an accurate information about its susceptibility. Monte Carlo simulations give statistical results on the quality of the estimation and a virtual equipment under test is tested numerically with this approach. We propose a modus operandi that reduces the duration of the testing and increases its accuracy. Measurements on a real device confirm our predictions.