Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models

In three linesA framework applies tabular foundation models to industrial time series for remaining useful life prediction and diagnostics. By converting unit-level signals into tabular rows, these models outperform transformers and gradient-boosted trees on heterogeneous PHM tasks with high data efficiency.

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