Articles

December 17, 2021

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 Petri net maintenance modeling complexity via Approximate Bayesian Computation.

Risk-based maintenance strategy selection for wind turbine composite blades.

Other entries

Code

code D5.2 : Code related to the Integration of communications and SHM data (demonstrator, Deliverable 5.2)

Celebrated the fourth Training Week of ENHAnCE at TU Delft

The fourth training week of ENHAnCE was fruitfully celebrated at TU Delft University from the 28th of February to the 4th of March 2022, where

Fourth Training Week, from 28th February to 4th March 2022

The fourth Doctoral Training Week will be celebrated at TU Delft, The Netherlands, from 28th February to 4th March 2022 and will be focused on

Successfully celebrated the Third Training Week of ENHAnCE

The training weeks “Introduction to Composite Science and Technology (TW3)” and “Latest trends in manufacturing of intelligent composites (TW7)” were combined in one Training Week

ENHAnCE