Risk Assessment Method for Single-Event Effects in Aerospace Microsystems Based on Bayesian Networks

This paper proposes a Bayesian network-based modeling approach to assess the risk of microsystems in space radiation environments. A single-level to multi-level fault evaluation system is established by defining a risk assessment system, identifying fault propagation paths, and constructing a Bayesian network model for risk evaluation, aims to provide a more objective and comprehensive assessment of system risks, identifying critical fault nodes with the highest error of 18.25% and the lowest error of 0.32%.