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In this paper, we propose to optimize both the assignment of missions and the maintenance scheduling of moving systems (e.g. trains) in a Prognostics and Health Management (PHM) context. The problem is to associate a system to each mission and to integrate the necessary maintenance operations in the schedule according to the real state of health of systems. This problem, which falls within the decision...
A management of multi-stacks fuel cell systems is proposed to extend systems useful life in a Prognostics and Health Management (PHM) framework. The problem consists in selecting at each time which fuel cell stacks have to run and which output power has to be chosen for each of them to satisfy a load demand as long as possible. Multi-stacks fuel cell system useful life depends not only on each stack...
The use of fuel cells appears to be of growing interest as a potential alternative to conventional power systems. Fuel cell systems suffer however from insufficient durability and their lifetime may be improved. Prognostics results in the form of Remaining Useful Life are proposed to be used in a Prognostics and Health Management (PHM) framework to maximize the global useful life of a multi-stack...
In the field of production scheduling, this paper addresses the problem of maximizing the production horizon of a heterogeneous platform composed of identical parallel machines and which has to provide a given production service. Each machine is supposed to be able to provide several throughputs corresponding to different operating conditions. The key point is to select the appropriate profile for...
This paper adresses the problem of optimizing the useful life of a heterogeneous distributed platform which has to produce a given production service. The purpose is to provide a production scheduling that maximizes the production horizon. The use of Prognostics and Health Management (PHM) results in the form of Remaining Useful Life (RUL) allows to adapt the schedule to the wear and tear of equipment...
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