Digital Twin Implementation for Predictive Maintenance
Abstract
Predictive maintenance in the era of Digital Twin (DT) is a new
scientific and technological challenge proposing a new vision on how
to implement new predictive maintenance policies using digital twin
solutions for complex industrial systems. In this paper, we focus on
modelling and optimizing predictive maintenance of a insulation gas
leakage in a complex system of energy transportation managed by
RTE (a company for energy transportation and delivery). We
propose exact mathematical models based on actual leakage rate to
provide optimal solutions for the predictive maintenance actions and
will rely on the use of DT to perform maintenance decisions as
feedback to the physical system.