Metrology for the factory of the future: towards a case study in condition monitoring

Abstract

The “Factory of the Future” (FoF) as a fully inter-connected production environment with an autonomous flow of information and decision-making constitutes the digital transformation of manufacturing to improve efficiency and competitiveness. Transparency, comparability and sustainable quality all require reliable measured data, processing methods and results. Hence, a metrological framework for the complete lifecycle of measured data in industrial applications is required: from calibration capabilities for individual sensors with digital pre-processed output to uncertainty quantification associated with machine learning (ML) in industrial sensor networks. This contribution presents a European metrology research project to develop such a framework. Special focus in this contribution is set on an implementation testbed where the framework will be used to demonstrate the practical applicability for condition monitoring.