Multi-task framework with shared convolutional-LSTM encoder predicts TGTU, DTGT, and RUL plus empirical prediction intervals for turbine engine health management.
Remaining useful life prediction using temporal deep degradation network for complex machinery with attention-based feature extraction,
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Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
Multi-task framework with shared convolutional-LSTM encoder predicts TGTU, DTGT, and RUL plus empirical prediction intervals for turbine engine health management.