This paper deals with the modeling of a preventive maintenance strategy applied to a single-unit system subject to random failures.
According to this policy, the system is subjected to imperfect periodic preventive maintenance restoring it to ‘as good as new’ with probability
p and leaving it at state ‘as bad as old’ with probability q. Imperfect repairs are performed following failures occurring between consecutive
preventive maintenance actions, i.e the times between failures follow a decreasing quasi-renewal process with parameter a. Considering the
average durations of the preventive and corrective maintenance actions as well as their respective efficiency extents, a mathematical model
is developed in order to study the evolution of the system stationary availability and determine the optimal PM period which maximizes
- The modeling of the imperfection of the corrective maintenance actions requires the knowledge of the quasi-renewal function when times to first failure follow a Weibull Distribution.
