On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance Constraints

Abstract EN

This paper deals with a gradually deteriorating system operating under an uncertain environment whose state is only known on a finite rolling horizon.

As such, the system is subject to constraints.

Maintenance actions can only be planned at imposed times called maintenance opportunities that are available on a limited visibility horizon.

This system can, for example, be a commercial vehicle with a monitored critical component that can be maintained only in some specific workshops.

Based on the considered system, we aim to use the monitoring data and the time-limited information for maintenance decision support in order to reduce its costs.

We propose two predictive maintenance policies based, respectively, on cost and reliability criteria.

Classical age-based and condition-based policies are considered as benchmarks.

The performance assessment shows the value of the different types of information and the best way to use them in maintenance decision making.