Data-based structural health monitoring via AI-driven transfer learning (C02)

• Subject Area: Applied Mechanics, Statics and Dynamics
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 434502799

The objective of SP C02 is to combine the multivariate grey-box monitoring concept for a single structure (first funding period) with transfer learning methods from the second funding period to enable the transfer of knowledge and pre-existing measurement data from different structures. This will allow the implementation of a flexible and reliable SHM solution for several offshore megastructures.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1463: Integrated Design and Operation Methodology for Offshore Megastructures
• Applicant Institution: Gottfried Wilhelm Leibniz Universität Hannover
• Project Head: Professor Dr.-Ing. Raimund Rolfes