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

TAIFUN

Project timeline
Start:
July 2020
Duration:
36 months
End:
June 2023
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.
HZG 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 AreaERA-NET MarTERA
Project TypeERA-NET MarTERA project
Contract Number03SX521B
Co-ordinatorSINTEF AS (NO)
Funding for the Project (€) Funding for HZG (€)
1,125,000324,800
Contact Person at HZG Dr. Daniel Höche, Institute of Materials Research, WZK, Phone: +49 4152 87 1914
E-mail contact
Worldwide Europe

Participants
develogic GmbH (DE), Jotun Performance Coatings (NO), SINTEF (NO), Zensor Flanders (BE)
Last Update: 23. September 2020