AIBullisharXiv – CS AI · 7h ago6/10
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Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation
Researchers introduce a data-efficient approach for Remaining Useful Life (RUL) prediction in industrial equipment using frozen pretrained time-series foundation models (Chronos-2) combined with lightweight regression heads. Testing on real-world sensor data demonstrates superior performance compared to traditional recurrent, convolutional, and Transformer-based models, suggesting foundation models offer practical advantages for predictive maintenance without extensive feature engineering.