To leverage existing aircraft sensors for systems and mature promising sensing solutions for structures
To develop health diagnostics and prognostics of aircraft systems and structures, using innovative data-driven machine learning techniques and physics models
To develop an efficient maintenance management optimisation process, capable of adapting to real-time health conditions of the aircraft fleet
To perform a safety risk assessment of the proposed IFHM solution, to ensure its reliable implementation and promote an informed discussion on regulatory challenges and concrete actions towards the certification of Condition-Based Maintenance (CBM)