Logistics equipment condition monitoring and prediction based on digital twin and machine learning. [PDF]
Han F, Liu L, Sun J.
europepmc +1 more source
Enhanced remaining useful life prediction of lithium-ion battery based on a dual attention hybrid data-driven method. [PDF]
Shi Z +6 more
europepmc +1 more source
Prediction of remaining useful life for electronic equipment based on online PINN. [PDF]
Han F, Mo B.
europepmc +1 more source
A cycle-aware and physics-informed framework for battery remaining useful life prediction. [PDF]
Chen Y, Wu Y, Li C.
europepmc +1 more source
Nonlinear degradation modeling and remaining useful life prediction for electric drive system with multiple failure modes. [PDF]
Wang Z, Li Y, Li S, Hou Y, Du W, Zhao L.
europepmc +1 more source
Predictive maintenance programs for aircraft engines based on remaining useful life prediction. [PDF]
Xue F, Jin G, Tan L, Zhang C, Yu Y.
europepmc +1 more source
Hybrid HHO-WHO Optimized Transformer-GRU Model for Advanced Failure Prediction in Industrial Machinery and Engines. [PDF]
Ali AR, Kamal H.
europepmc +1 more source
A hybrid temporal convolutional attention model for water filter remaining useful life prediction. [PDF]
Chen J, Yang Y, Su L.
europepmc +1 more source
Remaining useful life prediction of lithium batteries based on jump connection multi-scale CNN. [PDF]
Sun L, Huang X, Liu J, Song J, Wu S.
europepmc +1 more source
An Adaptive Framework for Remaining Useful Life Prediction Integrating Attention Mechanism and Deep Reinforcement Learning. [PDF]
Bai Y +8 more
europepmc +1 more source

