#rul-estimation News & Analysis

2 articles tagged with #rul-estimation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 116/10

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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.

AIBullisharXiv – CS AI · Jun 26/10

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Toward accurate RUL and SoH estimation using reinforced graph-based physics-informed neural networks enhanced with dynamic weights

Researchers present RGPD, a physics-informed neural network framework that dynamically balances multiple loss functions to improve Remaining Useful Life (RUL) and State of Health (SoH) predictions across industrial assets. The model achieves up to 20% improvement in accuracy over existing methods by combining graph-based representation learning with reinforcement learning-driven adaptive weighting, demonstrating strong generalization across engine, bearing, and battery degradation datasets.