Abstract
This research deals with stochastic modelling and the parametric estimation of corrective and preventive maintenance efficiency for industrial systems in degradation. The generalisation of the models suggested makes it possible to integrate this dependence between corrective and preventive maintenances. In order to take into account this dependency and the possibility of imperfect maintenances, generalised competing risks models have been presented in Doyen and Gaudi (2006). In this study, we revise the general case for which the potential times to next corrective and preventive maintenance are dependent conditionally to the past of the maintenance process. We address the identifiability issue and find a result similar to that of Dijoux et al. (2008) for usual competing risks. The properties of the parameters estimators have to be theoretically studied. Finally, results are applied to real maintenance dataset.
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