LAST-RAG conditions stochastic degradation model selection on both observed trajectories and retrieved literature evidence, outperforming statistical baselines in simulation experiments for Wiener/gamma and detailed model classification.
Degradation data-driven remaining useful life estimation in the absence of prior degradation knowledge.Journal of Control Science and Engineering, 2017:1– 11
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LAST-RAG: Literature-Anchored Stochastic Trajectory Retrieval-Augmented Generation for Knowledge-Conditioned Degradation Model Selection
LAST-RAG conditions stochastic degradation model selection on both observed trajectories and retrieved literature evidence, outperforming statistical baselines in simulation experiments for Wiener/gamma and detailed model classification.