Abstract
In this paper we introduce an architecture for a cognitive digital twin that uses an ontology-based knowledge graph to improve the analysis of manufacturing systems. The architecture is evaluated in a use case at Atlas Copco Airpower, revolving around an adaptive measurement strategy for quality control. We report on the requirements, outcomes, and the resulting challenges of using a cognitive digital twin, and provide a roadmap for future research.
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