1 citations · 1 across the 6 of their papers we have counts for
6 papers
A Hierarchical Bayesian Framework for Model-based Prognostics
Xinyu Jia, Iason Papaioannou, Daniel Straub
In prognostics and health management (PHM) of engineered systems, maintenance decisions are ideally informed by predictions of a system's remaining useful life (RUL) based on opera…
A novel stratified sampler with unbalanced refinement for network reliability assessment
Jianpeng Chan, Iason Papaioannou, Daniel Straub
We investigate stratified sampling in the context of network reliability assessment. We propose an unbalanced stratum refinement procedure, which operates on a partition of network…
Enhanced sequential directional importance sampling for structural reliability analysis
Kai Chenga, Iason Papaioannou, Daniel Straub
Sequential directional importance sampling (SDIS) is an efficient adaptive simulation method for estimating failure probabilities. It expresses the failure probability as the produ…
State Space Kriging model for emulating complex nonlinear dynamical systems under stochastic excitation
Kai Chenga, Iason Papaioannoua, MengZe Lyub +1
We present a new surrogate model for emulating the behavior of complex nonlinear dynamical systems with external stochastic excitation. The model represents the system dynamics in…
FORM-based global reliability sensitivity analysis of systems with multiple failure modes
Iason Papaioannou, Daniel Straub
Global variance-based reliability sensitivity indices arise from a variance decomposition of the indicator function describing the failure event. The first-order indices reflect th…
Bayesian improved cross entropy method with categorical mixture models
Jianpeng Chan, Iason Papaioannou, Daniel Straub
We employ the Bayesian improved cross entropy (BiCE) method for rare event estimation in static networks and choose the categorical mixture as the parametric family to capture the…