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#remaining-useful-life News & Analysis

2 articles tagged with #remaining-useful-life. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 26/10
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Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations

Researchers introduce PC-MambaSDE, a machine learning framework designed to predict remaining useful life in industrial equipment by combining continuous-time neural networks with physics-based constraints. The model handles irregular sensor data and prevents physically impossible degradation patterns, outperforming existing methods especially when observation data is sparse.

AINeutralarXiv – CS AI · Jun 16/10
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Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction

Researchers present a multi-task machine learning framework for predicting turbine remaining useful life (RUL) and thermal indicators with quantified uncertainty. The system combines convolutional neural networks with bidirectional LSTMs to handle heterogeneous real-world fleet data and provides prediction intervals rather than point estimates, enabling risk-aware maintenance decisions.