2 papers
cs.CL2026
Time-Series Retrieval for Grounding Multimodal Language Models in Remaining Useful Life Prediction
Valeriu Dimidov, Raphaël Frank
Large language models (LLMs) and agentic AI systems are increasingly being explored for domain-specific maintenance and prognostics tasks, raising the question of whether they can…
cs.LG2026
An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks
Valeriu Dimidov, Sasan Jafarnejad, Raphaël Frank
Condition-based Predictive Maintenance (PdM) for truck fleets has gained momentum in recent years. This maintenance strategy aims to minimize unplanned downtimes and reduce costs b…