Digitization of development processes, industrial internet, systems of systems, cyber physical systems, manufacturing
Description of the project
The objective of the iDev40 project is to achieve a disruptive or "breakthrough change" step toward speedup in time to market by digitalising the European industry, closely interlinking development processes, logistics and manufacturing.
In iDev40, Sirris contributes to the realization of a data-driven methodology for:
- the enrichment of the available machine data using external sources with weather info, road slope, road condition, etc.
- the extraction of status/health indicators and quantification of system behaviour
Belgian consortium partners
Start date: 01/05/2018
End date: 30/04/2021
- Sirris presented a paper on ‘An unsupervised methodology for online drift detection in multivariate industrial datasets’ at the ICDM Workshop on Continual Learning and Adaptation for Time Evolving Data (virtual conference), November 17th, 2020.
A preprint of the paper is available here. The published version is available in IEEE Xplore and can be cited as:
S. Klein and M. Verbeke, "An unsupervised methodology for online drift detection in multivariate industrial datasets," 2020 International Conference on Data Mining Workshops (ICDMW), Sorrento, Italy, 2020, pp. 392-399, doi: 10.1109/ICDMW51313.2020.00061.
With the financial support of