MANAGER h2020

Congratulations to Wen Wu, the fourth doctor of ENHAnCE (February, 2024)

Wen Wu, the fourth doctor of ENHAnCE (February, 2024) Wen Wu has demonstrated exceptional academic prowess by successfully defending his PhD thesis titled “Physics-based Guided Wave Structural Health Monitoring, and its Integration in Asset Management Modelling” in February 2024 in the University of Notthingam, U.K. His research represents a significant contribution to the field of …

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ENHAnCE congratulates its thrid doctor: Ali Saleh (December, 2023)

Alis Saleh, third doctor from ENHAnCE, defended its PhD in December, 2023 Ali Saleh, ESR 10, has successfully defended his PhD titled “Enhancing infrastructure maintenance: a prognostics-based self-adaptive expert system for cross-sectoral engineering problems” on December 12, 2023, at the University of Granada, Spain. The entire ENHAnCE project team extends our heartfelt congratulations to him …

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Second doctor within the ENHAnCE project: Juan Fernández, at University of Granada (June, 2023)

Our second PhD is the ESR Juan Fernández, who successfully defended is thesis in June, 2023, at the University of Granada, Spain, with the title “A Probabilistic Framework for Prognostics with Uncertainty Quantification Based on Physics-Guided Bayesian Neural Networks”. We fondly recall his remarkable achievement within our European project Enhance. Join us in commemorating the …

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Our first doctor: Tianzhi Li, at Politecnico di Milano (May, 2023)

In May of this year, we celebrated a significant milestone within Enhance: the outstanding accomplishment of the ESR Tianzhi Li, who successfully defended his doctoral thesis with the title “Particle Filter-Based Damage Prognosis in Engineering Structures Subjected to Fatigue Loading” at Politecnico Di Milano, under the guidance of his dedicated supervisors, Dr. Francesco Cadini and …

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9th and last Training Week of the project celebrated in Granada, Spain

9th and last Training Week of the project celebrated in Granada, Spain The ENHAnCE project’s journey reached an important milestone with the successful culmination of its final training week in Granada, Spain. From the 22nd to the 26th of May 2023, professionals from various fields explored the “Pathways to commercial end-product impact and final ENHAnCE …

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The University of Nottingham jointly with the University of Strathclyde has hosted the 8th Training Week

The University of Nottingham jointly with the University of Strathclyde has hosted the 8th Training Week of the ENHAnCE project. Lectures about asset management and maintenance modelling, with real-world applications in wind turbines and rails, have attracted all the interest, including some communication skills and professional interview workshops to be prepared for the next steps …

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The 7th Training Week of ENHAnCE was celebrated in Milano, Italy

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 …

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6th Training Week of ENHAnCE held in CENAERO -Charleroi, Belgium

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 progressing with several Doctoral courses, new publications, better interactions between researchers, and more. Thanks also to Rafael Muñoz Beltrán for his professional coaching session and Mohammad Ali Fakih for his tutorial on Lamb-wave based …

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5th TW jointly celebrated with the project GW4SHM

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 …

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Articles

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. Numerical simulation-aided particle filter-based damage prognosis using Lamb waves. Structural digital twin …

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