Development and Validation of a Dynamic Bayesian Network‐Based Adaptive Reliability Optimization Model Using Design of Experiments and Expected Information Gain
This study proposes a dynamic Bayesian networks (DBN)‐guided adaptive reliability experimental design framework for dynamic reliability learning and uncertainty reduction in complex engineering systems under operational and budgetary constraints. The methodology integrates DBN, Bayesian experimental design, entropy‐b...