Authors: Griffiths, T., Corrêa, D., Hodkiewicz, M., & Polpo, A. (2022). Managing streamed sensor data for mobile equipment prognostics. Data-Centric Engineering, 3, E11. doi:10.1017/dce.2022.4
Open access in cambridge press
Griffiths, T., Corrêa, D., Hodkiewicz, M., & Polpo, A. (2022). Managing streamed sensor data for mobile equipment prognostics. Data-Centric Engineering, 3, E11. doi:10.1017/dce.2022.4
ISSN: 2632-6736 (Online)
Editors: Eleni Chatzi ETH Zürich, Switzerland, Mark Girolami University of Cambridge & The Alan Turing Institute, UK, and Kenichi Soga University of California Berkeley, USA
Data-Centric Engineering (DCE) is a peer-reviewed open-access journal dedicated to the transformative impact of data science for research and practice across all areas of engineering. Articles explore the benefits of data science methods and models for improving the reliability, resilience, safety, efficiency and usability of engineered systems.
DCE welcomes original research, translational papers focused on downstream settings, tutorial reviews, position papers and surveys of this emerging field. It is free to access, and there are no financial barriers for authors to contribute.