Uncertainty-Aware Automated Maintenance Decision-Making for Elevator Mechatronic Systems
To address the fundamental challenge of translating probabilistic health assessments into reliable maintenance decisions for elevator mechatronic systems, this paper proposes the first uncertainty-aware dual-threshold optimization framework that systematically bridges Bayesian perception with optimal decision-making. L...