A cost model for predictive maintenance based on risk-assessment.

Summary Abstract-The growing complexity of industrial systems is driving public and private decision-makers to optimize the life cycle of a system, particularly with regard to maintenance operations. In this article, we propose an approach to optimize and plan the maintenance strategy taking into account both the costs of operations and the risks associated with system failure. The novelty of the proposed approach lies in an integration, in the objective function that we minimize, of the set of maintenance costs as well as the financial, environmental and human risks that could be caused by a possible system failure. This is based on the system's remaining useful life (RUL) as an indicator of the health status of the system. The decision variables are then: a critical threshold of RUL below which the component is replaced and an inspection step giving the regularity with which the system is inspected.