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 (VR+Ultrasonic, Robot+X-ray, railway SHM, laser, etc.). We also had the opportunity of sharing our research work with the H2020 MSCA-ITN project GW4SHM through poster sessions and communicating interactively with a broad range of SHM researchers in person. Thanks to all for making it possible!
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
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
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)
