H2020 · Manufacturing & Robotics
Unified predictive maintenance system
Suite5 led the definition of the multi-source data acquisition, harmonisation and processing patterns, working actively on the different diagnosis, prognosis and decision-making algorithms. Leading the development of the Manufacturing Legacy Data Analytics (UPTIME_ANALYZE) component, Suite5 was involved in the design and implementation of the overall UPTIME e-Maintenance Platform, while acting as the IT support partner in the implementation of the Home Appliances business case of the project.
UPTIME aimed to design a unified predictive maintenance framework and an associated unified information system in order to enable the predictive maintenance strategy implementation in manufacturing industries. The UPTIME predictive maintenance system extended and unified the new digital, e-maintenance services and tools and incorporated information from heterogeneous data sources, e.g. sensors, to more accurately estimate the process performances.UPTIME enabled manufacturing companies to reach Gartner’s level 4 of data analytics maturity (“optimized decision-making”) in order to improve physically-based models and to synchronise maintenance with quality management, production planning and logistics options.
Talk to us about the capabilities behind UPTIME — as a research collaboration or a commercial engagement.