Accepted paper at ICAART 2022

Our paper “Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks”, with our Master student David Kerkkamp as first author, has been accepted for ICAART 2022. The paper is based on David’s Master’s thesis at Rolsch Assetmanagement within the PrimaVera project, and investigates the utility of graph Read more…

Follow us on LinkedIn!

To facilitate the dissemination process, the PrimaVera team decided to launch their effort and commitment to digital media platforms. From now on, we will regularly share our original research content and colloquium videos. We aim to create a dynamic interaction with those interested in the subject of predictive maintenance. You Read more…

PHM Data Challenge 2021

The PHM data challenge 2021 is here, and the PrimaVera consortium has jumped on board! A team consisting of PhD/PostDoc researchers Núbia Alves da Silveira, Thom Badings, Luc Keizers, Lisandro Jimenez and Matthias Volk is working to address the challenges of fault detection, classification and root cause identification using data-driven, Read more…

Lisandro A. Jimenez-Roa, Professional doctorate in Engineering (PDEng)

On November 23rd, 2020, Lisandro A. Jimenez-Roa successfully defended his PDEng project on data-driven damage detection for bridges through vibration structural health monitoring. This project sponsored by the Dutch Ministry of Infrastructure (Rijkswaterstaat) was conducted at the University of Twente in the Construction Management and Engineering (CME) group. Currently, Lisandro Read more…