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

Raffael Theiler, Lev Telyatnikov, Leandro Von Krannichfeldt, Olga Fink
Jun 5, 2026 at 04:00
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arXiv:2606.05481v1 Announce Type: cross Abstract: Data-driven Prognostics and Health Management (PHM) uses time-varying condition-monitoring data to diagnose system states and estimate remaining useful life in engineered assets. These tasks are central to maintenance planning, but industrial PHM data are often fragmented, partially observed, and...

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