Title | ||
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Metrology for the factory of the future: towards a case study in condition monitoring |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/I2MTC.2019.8826973 | 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) |
Keywords | Field | DocType |
metrology,condition monitoring,data quality,measurement uncertainty,Industry 4.0,Industrial Internet of Things | Information flow (information theory),Uncertainty quantification,Data quality,Systems engineering,Digital transformation,Measurement uncertainty,Control engineering,Condition monitoring,Engineering,Wireless sensor network,Industry 4.0 | Conference |
ISSN | ISBN | Citations |
2642-2069 | 978-1-5386-3461-5 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tanja Dorst | 1 | 0 | 0.34 |
Björn Ludwig | 2 | 0 | 0.34 |
Sascha Eichstädt | 3 | 0 | 0.68 |
Tizian Schneider | 4 | 0 | 0.68 |
Andreas Schütze | 5 | 15 | 3.57 |