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20232026
most citedState-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies

70 citations · 81 across the 6 of their papers we have counts for

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eess.SP2026

Grounding Time-Series Foundation Models in Digital Twin Topology for Predictive Maintenance

Sizhe Ma, Katherine A. Flanigan, Mario Bergés

Digital twins increasingly support downstream analytical tasks that depend on time-series data, motivating interest in time-series foundation models (TSFMs) as scalable backbones.…