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Introduction Throughout their operational life, industrial systems are subjected to preventive and corrective maintenances. Efficient maintenance allows extending the service life of an equipment, which is a crucial industrial issue. It is therefore important to build models of the effects of maintenance of complex repairable systems and develop methods to assess their efficiency. Basically, it is assumed that either maintenance is perfect (AGAN: As Good As New), or maintenance is minimal (ABAO: As Bad As Old). The reality is of course between these two extreme cases. This is called imperfect maintenance. A collaboration between Electricité de France (EDF) R&D and Grenoble University led to the development of a new software tool, which aims to implement these models and to estimate jointly the effects of ageing and maintenance (preventive and/or corrective). This software, called MARS (Maintenance Assessment of Repairable Systems), allows to apply these models to real and simulated data. In a first step, we consider systems subjected to only Corrective Maintenance (CM), or repair. In a second step, we consider systems subjected to CM and Preventive Maintenance (PM).