Comparative study of granular computing and RKCCA-based feature fusion for early lithium-ion battery RUL estimation. [PDF]
Sci RepHiroshini K +3 more
europepmc +1 more source
An integrated method for state of charge estimation, lifetime prediction, and reliability assessment of Lithium-ion batteries under thermal and dynamic conditions. [PDF]
PLoS OneMobasheri P, Aranizadeh A, Vahidi B.
europepmc +1 more source
Remaining useful life prediction across different operational conditions based on domain adaptation feature transfer. [PDF]
Sci RepJiang Z, Wei Y, Li X.
europepmc +1 more source
Uncertainty-Aware Remaining Useful Life Prediction via Synergizing TCN-Transformer Networks and Fractional Brownian Motion. [PDF]
Entropy (Basel)Geng Y, Yu T, Liu Y, Zhao J.
europepmc +1 more source
A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]
PLoS OneTang D.
europepmc +1 more source
Trans-D3: A Novel Hybrid Transformer-Based Actor-Critic Approach for Remaining Useful Life Prediction. [PDF]
Sensors (Basel)Paredes J +3 more
europepmc +1 more source
Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model. [PDF]
Sci RepKong Z, Li S, Wang C.
europepmc +1 more source
Accurate remaining useful life prediction and uncertainty quantification for wind turbines using temporal convolutional variational deep Gaussian processes. [PDF]
Sci RepCui S +5 more
europepmc +1 more source
Machine learning- assisted remaining useful lifetime prediction of power electronic converters. [PDF]
Sci RepSayed H, Krishnamoorthy HS.
europepmc +1 more source
Interval Prediction of Remaining Useful Life Based on Uncertainty Quantification with Bayesian Convolutional Neural Networks Featuring Dual-Output Units. [PDF]
Sensors (Basel)Qu Z, He J, Liu Y, Mao S, Han X.
europepmc +1 more source