Sensor-Based Channel-Wise Remaining Useful Life Estimation and Multi-Threshold Maintenance Policy for Steel-Cord Conveyor Belts. [PDF]
Błażej R, Jurdziak L, Rzeszowska A.
europepmc +1 more source
Uncertainty-Aware Remaining Useful Life Prediction via Synergizing TCN-Transformer Networks and Fractional Brownian Motion. [PDF]
Geng Y, Yu T, Liu Y, Zhao J.
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A degradation index model for maintenance prediction run-to-failure in production systems. [PDF]
Zonta T +5 more
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A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]
Tang D.
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Comparative study of granular computing and RKCCA-based feature fusion for early lithium-ion battery RUL estimation. [PDF]
Hiroshini K +3 more
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Machine learning- assisted remaining useful lifetime prediction of power electronic converters. [PDF]
Sayed H, Krishnamoorthy HS.
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This paper proposes a Physics-Informed Neural Network (PINN) framework for remaining useful life (RUL) prediction in reusable rocket engines. The method embeds Coffin-Manson low-cycle fatigue physics and Chaboche viscoplastic constitutive equations directly into the loss function of an LSTM encoder, forcing predictions to remain physically consistent ...
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Interval Prediction of Remaining Useful Life Based on Uncertainty Quantification with Bayesian Convolutional Neural Networks Featuring Dual-Output Units. [PDF]
Qu Z, He J, Liu Y, Mao S, Han X.
europepmc +1 more source
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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An integrated method for state of charge estimation, lifetime prediction, and reliability assessment of Lithium-ion batteries under thermal and dynamic conditions. [PDF]
Mobasheri P, Aranizadeh A, Vahidi B.
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