Predictive engine model incorporating physics based model estimation and machine learning. [PDF]
Jung JS, Son C, Rimell A, Clarkson RJ.
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Turbofan Engine Remaining Useful Life Prediction with Reliable Prediction Intervals via LSTM-Based Quantile Regression and Conformal Calibration. [PDF]
Diao R, Zhou M, Meng G, Wang S.
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Trans-D3: A Novel Hybrid Transformer-Based Actor-Critic Approach for Remaining Useful Life Prediction. [PDF]
Paredes J +3 more
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Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion. [PDF]
Peng C, Chen Y, Gui W, Tang Z, Li C.
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Leveraging transfer learning and maintenance domain adaptation to improve useful life prediction accuracy of high pressure compressor of aeroengine. [PDF]
Singh SNP +4 more
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Construction of Data-Driven Performance Digital Twin for a Real-World Gas Turbine Anomaly Detection Considering Uncertainty. [PDF]
Ma Y, Zhu X, Lu J, Yang P, Sun J.
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Prediction of aero engine remaining service life using a bidirectional GRU model with self attention mechanism. [PDF]
Fu W +7 more
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Fracture behavior of Ti-6Al-4V in the extreme thermo-mechanical environment of fan blade-out. [PDF]
Tuninetti V +5 more
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A deep learning-based prognostic approach for predicting turbofan engine degradation and remaining useful life. [PDF]
Elsherif SM +3 more
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A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment. [PDF]
Li W +9 more
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