AINeutralarXiv – CS AI · 7h ago6/10
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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.