Abstract: This study examines the issue of interpretability in fault diagnosis for rolling bearings using a symbolic learning technique. We propose the adoption of weighted signal temporal logic (wSTL ...
Abstract: Optimizing Piping and Instrumentation Diagrams (P&IDs) in design and engineering is often hindered by manual and repetitive tasks, despite common, reusable patterns. This work leverages AI ...
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