Project 17030

DayTiMe

Digital Lifecycle Twins for predictive maintenance

The concept of digital twin can provide solutions for the challenges faced in Smart Manufacturing, e.g. for Predictive Maintenance (PdM) techniques. Even though predictive maintenance and digital twins expected to have a high impact on future smart manufacturing and engineering, there are still very few functioning examples of digital twins being used for predictive maintenance in actual industrial practice. It is the gap DayTiMe is about to fill, integrating findings and solutions from 14 industrial use cases and using a generic value chain model.

Project information

Project name
17030 DayTiMe
Status
Labelled
Call
ITEA 3 Call 4
Challenge
Smart industry
Partners
38
Costs
29,131 k€
Effort
247.76 PY
Countries
Belgium
Canada
Finland
Netherlands
Norway
Spain
Turkey
United Kingdom

Project leader

Name
Ad de Beer
Organisation
Philips Electronics Nederland BV
Country
Netherlands
Project involvement
17030 DayTiMe

Project partners