LAST-RAG: Literature-Anchored Stochastic Trajectory Retrieval-Augmented Generation for Knowledge-Conditioned Degradation Model Selection

In three linesLAST-RAG proposes a method for selecting stochastic degradation models to estimate remaining useful life (RUL). It combines observed trajectories and domain context via retrieval from a local evidence bank, with RCRUS mechanism to prevent premature model elimination. Experiments show outperformance versus statistical and prognostic baselines.

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