Predictive maintenance of maritime systems: models and challenges

To reduce maintenance and logistic costs and increase the asset availability, a predictive maintenance concept for maritime systems is developed. In the present paper, the physics-of-failure based prognostic methods will be introduced, but also other issues related to the development and application of these models will be discussed. Typically, the following challenges are encountered in such a development trajectory: (i) critical part selection, (ii) predictive modelling (data-driven or physics based), (iii) monitoring / data collection, (iv) model validation and (v) making the business case. These challenges will be discussed us-ing two case studies: the cylinder liners of a diesel engine and printed circuit boards (PCB) in a radar system.