Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics
Particle filters (PF) have been established as the de facto state of the art
in failure prognosis. They combine advantages of the rigors of Bayesian estimation
to nonlinear prediction while also providing uncertainty estimates with a given solution. Within the context of particle filters, this paper introduces …