PREDICTIVE MAINTENANCE SYSTEM FOR MANUFACTURING INDUSTRY
UPTIME aims 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 will extend and unify the new digital, e-maintenance services and tools and will incorporate information from heterogeneous data sources, e.g. sensors, to more accurately estimate the process performances.
OBJECTIVES
EXTEND & UNIFY
UPTIME will reframe predictive maintenance strategy, extend and unify the new research-based digital, e-maintenance services and tools and provide incorporate data information.
DEPLOY & VALIDATE
UPTIME will deploy the unified extended digital e-maintenance services in different representative manufacturing environments and evaluate the predictive maintenance framework.
DIFFUSE
UPTIME will exploit the project’s results in order to generate business flows and to maximize the impact on the industry through creation and management of manufacturing communities.
PRODUCTION SYSTEMS
The use case of FFT deals with the maintenance of manufacturing equipment within the aviation sector.
WHITE GOODS APPLIANCE
The use case of WHIRLPOOL deals with a complex automatic production line to produce drums for dryer.
COLD
ROLLING
The use case of MAILLIS deals with cold rolling mill for the production of steel strapping.