Proactive Decision Making Module
On the basis of (near) real-time predictions about future failures that lay outside the “normal states space”, DECIDE is enacted online in order to generate proactive action recommendations, i.e. recommendations about optimal (perfect or imperfect) maintenance actions and the optimal times of proactive action implementation. To do this, it estimates when the Expected Maintenance Loss will be minimized.
Industry 4.0 has led to an extensive use of sensors for condition monitoring, something which facilitates decision making under time constraints. Decision making in predictive maintenance indicates the phase which is triggered by sensor-driven, (near) real-time predictions (e.g. about a future failure mode) in order to generate proactive recommendations about maintenance actions and plans that eliminate or mitigate the impact of the predicted equipment failures.
The P-F interval, i.e. the time between the point where it can be found out that it is failing (potential failure) and the point where it has failed (functional failure), can be seen as an opportunity window during which decision making algorithms can recommend actions with the aim to eliminate the anticipated functional failure or mitigate its effect. However, the stochastic degradation process leads to high uncertainty in (near) real-time decision making.