The 7th Training Week of ENHAnCE with the latest trends in prognostics algorithm architectures has been celebrated in Milano, Italy, from the 23rd to the 27th of January 2023. Attendees enjoyed the lectures related to the Bayesian framework, Particle filter algorithm and the application of deep learning to diagnostic and prognostic problems in metal and composites.
Final meeting of ENHAnCE on the 25th June 2024 We are happy to announce the successful conclusion of the H2020 MSCA ITN project ENHAnCE, the
code D5.2 : Code related to the Integration of communications and SHM data (demonstrator, Deliverable 5.2) code D3.3 : Computational platform (Open Access) for computing
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Particle filter-based hybrid damage prognosis considering measurement bias. Reduction of
Download here our public deliverables and demonstrators from ENHAnCE: D-8.9.-End of Year 3 Summary Report & ENHAnCE achievements-ENHAnCE D-8.11-Potential inputs for policy feedback
