Risk-Aware Predictive Maintenance for Aero-Engines via CVaR-Guided Reinforcement Learning and LLM-Based Risk Abstraction. [PDF]
Song B, Guo Y, Yu Z, Ni Y, Wu W.
europepmc +1 more source
MBQG-Net: A Multi-Scale Bidirectional Query-Guided Gated Network for Aero-Engine Remaining Useful Life Prediction. [PDF]
Hu X, Qi H, Yu J, Lu C, Zhang L.
europepmc +1 more source
A cross-domain deep learning framework for remaining useful life prediction in industrial applications. [PDF]
Saha S +4 more
europepmc +1 more source
Explainable Remaining Useful Life Prediction of Air Circuit Breakers via Physics-Informed Electro-Mechanical Feature Fusion. [PDF]
Zhou J, Chen W, Chen J, Chen X.
europepmc +1 more source
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 ...
openaire +2 more sources
Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO. [PDF]
Ali B +6 more
europepmc +1 more source
An integrated Gaussian-Probabilistic-Fuzzy framework for health assessment and remaining useful life prediction of medium-voltage switchgears. [PDF]
Aranizadeh A, Vahidi B, Khorsandi A.
europepmc +1 more source
NBE-VLT-PFO: hybrid deep learning transformer architecture for joint estimation of lithium-ion batteries. [PDF]
Tamizharasi G, Rajini GK.
europepmc +1 more source
Attention-Based Quantile Regression for RUL Uncertainty Prediction. [PDF]
Huang L, Hu X, Gong L, Liu Y, Yang S.
europepmc +1 more source
Industrial LiFePOâ‚„ battery management system dataset for early degradation analysis and remaining useful life prediction. [PDF]
Ulfat MAB +7 more
europepmc +1 more source

