The paper Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise, coauthored by PrimaVera researchers Thom Badings, Nils Jansen, and Marielle Stoelinga, was selected for a distinguished paper award at …
We are delighted to announce that the paper by David Kerkkamp, Zaharah Bukhsh, Yingqian Zhang and Nils Jansen has won the best student paper award at the International Conference on …
On the 14th of April, 2022, 20:00-22:00, PrimaVera project leader Prof. Mariëlle Stoeligna and Dr. Jeroen Linssen will give a talk (in Dutch) about predictive algorithms for maintenance. First, Mariëlle …
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 …
A paper co-authored by PrimaVera researchers Thom Badings, Dr. Nils Jansen, and Prof. Marielle Stoelinga has been accepted at the prestigious AAAI Conference on Artificial Intelligence. In this paper, our …
A paper co-authored by PrimaVera researchers Luc Keizers and Prof. Tiedo Tinga was recently published in the International Journal of Prognostics and Health Management (PHM). In this paper, our researchers …
Having access to good datasets is crucial to facilitate the validation of predictive maintenance algorithms. To support the work done by PrimaVera researchers, students from The Hague University of Applied …
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 …
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 …
An overview article on the concerted approach to predictive maintenance within the PrimaVera project has been accepted for publication in Applied Sciences. This high-level article should be inspiring for anybody …
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