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Self-Supervised Pretraining for PHM: What Transfers, What Does Not, and What Federating It Costs

Sanz-Durán, José et al.
arXiv (All) · Papers
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and-scienceartificial-intelligencecomputational-engineeringfinancemachine-learningperformance
Self-supervised pretraining has produced capable time-series foundation models, but its value for Prognostics and Health Management (PHM) has not been measured under leakage-controlled conditions. We measure it on a corpus of 47 public PHM datasets, harmonized to a single tensor contract and partiti
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