Instead of performing maintenance at fixed intervals, the operational efficiency of assets can be improved significantly by taking into account the variations in usage and operating environment of the asset. In that way, the traditional static maintenance policy is replaced by a dynamic maintenance policy. In the present work, this concept is demonstrated by modeling the failure behavior of a rather complex multi-component system, i.e. a navy frigate. For this system, several non-identical subsystems are included. Some of the systems are unique on board, while others have been made redundant, which means that the criticality of the subsystems to the mission capability of the frigate varies. Moreover, the variation in deployment of the friga...
This paper considers a competing risk (degradation and sudden failure) maintenance situation. A main...
International audienceThis chapter provides some contributions for opportunistic maintenance optimiz...
International audienceThis chapter provides some contributions for opportunistic maintenance optimiz...
When an asset is operated in variable conditions, its operational efficiency can be improved signifi...
Most modern systems are equipped with very complex, expensive, and high technology components whose ...
AbstractServicing is applied periodically in practice with the aim of restoring the system state and...
Servicing is applied periodically in practice with the aim of restoring the system state and prolong...
Today’s technological systems are expected to perform at very high standards throughout their operat...
Purpose: While steady-state analysis is useful, it does not consider the inherent transient characte...
We present an optimization problem for the maintenance of a multi-component system subject to random...
In the reliability literature, maintenance time is usually ignored during the optimization of mainte...
International audienceThis paper deals with the concept of Maintenance Free Operating Period (MFOP)....
We consider an integrated usage and maintenance optimization problem for a k-out-of-n system pertain...
Unplanned downtimes caused by system failures incur high costs for many complex systems such as wind...
NoThis paper studies the selective maintenance problem for multi-state series systems working in var...
This paper considers a competing risk (degradation and sudden failure) maintenance situation. A main...
International audienceThis chapter provides some contributions for opportunistic maintenance optimiz...
International audienceThis chapter provides some contributions for opportunistic maintenance optimiz...
When an asset is operated in variable conditions, its operational efficiency can be improved signifi...
Most modern systems are equipped with very complex, expensive, and high technology components whose ...
AbstractServicing is applied periodically in practice with the aim of restoring the system state and...
Servicing is applied periodically in practice with the aim of restoring the system state and prolong...
Today’s technological systems are expected to perform at very high standards throughout their operat...
Purpose: While steady-state analysis is useful, it does not consider the inherent transient characte...
We present an optimization problem for the maintenance of a multi-component system subject to random...
In the reliability literature, maintenance time is usually ignored during the optimization of mainte...
International audienceThis paper deals with the concept of Maintenance Free Operating Period (MFOP)....
We consider an integrated usage and maintenance optimization problem for a k-out-of-n system pertain...
Unplanned downtimes caused by system failures incur high costs for many complex systems such as wind...
NoThis paper studies the selective maintenance problem for multi-state series systems working in var...
This paper considers a competing risk (degradation and sudden failure) maintenance situation. A main...
International audienceThis chapter provides some contributions for opportunistic maintenance optimiz...
International audienceThis chapter provides some contributions for opportunistic maintenance optimiz...