A cross-domain deep learning framework for remaining useful life prediction in industrial applications. [PDF]
Saha S +4 more
europepmc +1 more source
Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO. [PDF]
Ali B +6 more
europepmc +1 more source
A physics-informed multi-modal transformer framework for predictive maintenance and remaining useful life estimation of electrical submersible pumps. [PDF]
Khalili Y, Ahmadi M, Moraveji MK.
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
A Fractional-Derivative Multi-Kernel Adaptive Learning Approach for Remaining Useful Life Prediction of Rotating Machinery. [PDF]
Pan L, Xu J, Peng L, Bi D, Xie Y.
europepmc +1 more source
Comparative study of granular computing and RKCCA-based feature fusion for early lithium-ion battery RUL estimation. [PDF]
Hiroshini K +3 more
europepmc +1 more source
Circular-economy residual-value assessment of retired lithium-ion batteries via degradation prediction and game-theoretic subsidies. [PDF]
Lan G, Chen Y, Yao D, Wang J.
europepmc +1 more source
Remaining useful life prediction across different operational conditions based on domain adaptation feature transfer. [PDF]
Jiang 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]
Geng Y, Yu T, Liu Y, Zhao J.
europepmc +1 more source

