Particle Filtering is a nonlinear and non-Gaussian model-based Bayesian Filtering algorithm based on Monte Carlo Sampling techniques. This filtering methodology can be used to increase the reliability and the availability of the monitored system combining the measurements on the system itself and the analytical model of the observed phenomena. Inside this context. the basic idea of Pa... https://www.roneverhart.com/Beetlejuice-makeup-kit/