Add to ORKGAbstract This paper presents a method to find the optimum maintenance policy for a component. Random failures and failures due to deterioration are considered. Using Markov processes, the state probabilities are calculated and the optimal value of the mean time to preventive maintenance is determined by maximizing the availability of single component with respect to mean time to minimal preventive maintenance. Using the state probabilities, the problem is set up as Markov decision processes and an optimum maintenance policy using the policy iteration algorithm is determined. An example is used to illustrate the method. Maple V and Matlab software have been used to solve the equations
For many systems,failure is a very dangerous or costly event. To reduce the occurrence of this even...
For many systems,failure is a very dangerous or costly event. To reduce the occurrence of this even...
The stochastic version of Pontryagin's maximum principle is applied to determine an optimal maintena...
Abstract: This paper proposes a condition based preventive maintenance (CBPM) policy for Markov dete...
Maintenance of equipment of a power system can enhance the health condition and result in the improv...
In this thesis, continuous time multi-state Markovian and Semi-Markovian maintenance models are deve...
We present an optimization problem for the maintenance of a multi-component system subject to random...
Unplanned downtimes caused by system failures incur high costs for many complex systems such as wind...
International audienceWe present an optimization problem for the maintenance of a multi-component sy...
The equipment degradation and various maintenance decision processes with unreliable machines have b...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
The equipment degradation and various maintenance decision processes with unreliable machines have b...
[[abstract]]This study proposes a state-dependent maintenance policy Ri,j(T,N,α) for a multi-state c...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
For many systems,failure is a very dangerous or costly event. To reduce the occurrence of this even...
For many systems,failure is a very dangerous or costly event. To reduce the occurrence of this even...
The stochastic version of Pontryagin's maximum principle is applied to determine an optimal maintena...
Abstract: This paper proposes a condition based preventive maintenance (CBPM) policy for Markov dete...
Maintenance of equipment of a power system can enhance the health condition and result in the improv...
In this thesis, continuous time multi-state Markovian and Semi-Markovian maintenance models are deve...
We present an optimization problem for the maintenance of a multi-component system subject to random...
Unplanned downtimes caused by system failures incur high costs for many complex systems such as wind...
International audienceWe present an optimization problem for the maintenance of a multi-component sy...
The equipment degradation and various maintenance decision processes with unreliable machines have b...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
The equipment degradation and various maintenance decision processes with unreliable machines have b...
[[abstract]]This study proposes a state-dependent maintenance policy Ri,j(T,N,α) for a multi-state c...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
For many systems,failure is a very dangerous or costly event. To reduce the occurrence of this even...
For many systems,failure is a very dangerous or costly event. To reduce the occurrence of this even...
The stochastic version of Pontryagin's maximum principle is applied to determine an optimal maintena...