Anouar Belahcen and Alex Jung from Aalto University, Janne Keränen from VTT Technical Research Centre of Finland Ltd and Tatiana Minav from Tampere University have formed a consortium to develop modern AI-based methods for condition monitoring of electromechanical energy conversion systems, or powertrains. In order to ensure the safe and efficient functioning of these powertrains, it is important to predict their incipient faults at an early stage.
The project will produce synthetic augmented data to be used to train the AI algorithms. The algorithms will also combine data from different application domains, allowing for transfer learning. The results of the project are expected to produce new knowledge on how to optimally leverage AI algorithms for energy conversion systems.
Academy of Finland
More information from project webpages: link
Can be agreed via email