Towards Artificial Intelligent Maintenance System (AIMS) via predictive failure modelling and numerical simulation

General Information

Safety of marine constructions is fundamentally dependent on corrosion control by protective coatings and their maintenance. Coating maintenance is expensive and has safety challenges. To determine the optimal time to perform coating maintenance is difficult since several issues must be considered at the same time, like economy, logistics, safety without compromising the integrity of the construction or the safety workers. Intelligent decision support systems (DSS) will aid the maintenance optimization. The introduction of sensor- and drone photo monitoring enables intelligent predictive maintenance systems and decision support systems also for coatings. This process can become even more effective if predictive simulations can forecast coating degradation and corrosion induced damage. Sensors and automatic inspections are now being introduced and deliver (computationally) useful information. Key to the success of this revolution is that information can be extracted from the data. Developing sensors, computational models, software tools and AI for this purpose is the technical objective of the TAIFUN project.
Hereon is leading two work packages entitled ‘model specification’ and ‘model development’. TAIFUN is funded in the frame of MarTERA (Maritime and Marine Technologies for a new ERA), which is an ERA-NET Cofund scheme of Horizon 2020 of the European Commission together with 16 national funding authorities.

EU-Programme Acronym and Subprogramme Area	ERA-NET MarTERA
Project Type	ERA-NET MarTERA project
Contract Number	03SX521B
Co-ordinator	SINTEF (NO)

Funding for the Project (€)	Funding for Hereon (€)
1,125,000	324,800

Contact Person at Hereon

Dr. Daniel Höche, Institute of Surface Science, Department of Interface Modelling, MOM, Phone: +49 4152 87 1914 E-mail contact

Participants

develogic GmbH (DE), Jotun Performance Coatings (NO), SINTEF (NO), Zensor Flanders (BE)

Last Update: 27. July 2021