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Evaluation of proactive maintenance policies on a stochastically dependent hidden multi-component system using DBNs
(Elsevier Ltd, 2021-07)
In complex systems with stochastically dependent components which are not observed directly, determining an effective maintenance policy is a difficult task. In this paper, a dynamic Bayesian network based maintenance ...
Maintenance policy analysis of the regenerative air heater system using factored POMDPs
(Elsevier Ltd, 2022-03)
Maintenance optimization of multi-component systems is a difficult problem. Partially Observable Markov Decision Processes (POMDPs) are powerful tools for such problems under uncertainty in stochastic environments. In this ...