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Maintenance policy simulation for a factored partially observable system
(The Society for Modeling and Simulation International, 2019-07)
Taking maintenance decisions is one of the well-known stochastic sequential decision problems under uncertainty. Partially Observable Markov Decision Processes (POMDPs) are powerful tools for such problems. Nevertheless, ...
An effective maintenance policy for a multi-component dynamic system using factored POMDPs
(Springer Verlag, 2019-09-20)
With the latest advances in technology, almost all systems are getting substantially more uncertain and complex. Since increased complexity costs more, it is challenging to cope with this situation. Maintenance optimization ...
A DBN based reactive maintenance model for a complex system in thermal power plants
(Elsevier Sci Ltd, 2019-10)
Thermal power plants consist of several complex systems having many interacting hidden components. Any unexpected failure may lead to prolonged downtime and serious lost profits. Therefore, implementing an effective ...