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Toplam kayıt 6, listelenen: 1-6
Performance analysis of an aggregation and disaggregation solution procedure to obtain a maintenance plan for a partially observable multi-component system
(Elsevier Sci Ltd, 2017-11)
We analyze the performance of an aggregation and disaggregation procedure in giving the optimal maintenance decisions for a multi-component system under partial observations in a finite horizon. The components deteriorate ...
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 ...
Developing an effective maintenance policy for control gates in hydroelectric power plants
(IEOM Society, 2018)
Energy consumption has been increasing rapidly in the world. That is why production of energy from renewable resources is getting more and more important today. Hydroelectric power is the largest source of renewable ...
Cost-effective fault diagnosis of a multi-component dynamic system under corrective maintenance
(Elsevier Ltd, 2021-04)
Maintenance planning and execution are challenging tasks for every system with complex structure. Interdependent nature of the components that builds up the system may have significant effect on system integrity. While ...
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 ...