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.
Exciting Doctoral Training Week hosted by our project partner Cenaero. Thanks to all Cenaero collaborators, tutors, and specially to David Dumas for taking care of every detail. The ENHAnCE project is brilliantly
During the TW in Paris, held in June 2022, it was a real pleasure to attend the SHM classes at CEA List and visit its impressive lab
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
code D5.2 : Code related to the Integration of communications and SHM data (demonstrator, Deliverable 5.2)
