Remaining Useful Life (RUL) Prediction Based on the Bivariant Two-Phase Nonlinear Wiener Degradation Process. [PDF]
Sun L, Liang Y, Yan Z.
europepmc +1 more source
A MID-1DC+LRT Multi-Task Model for SOH Assessment and RUL Prediction of Mechanical Systems. [PDF]
Yang H, Yang X, Sun D, Hu Y.
europepmc +1 more source
Few-shot RUL prediction for engines based on CNN-GRU model. [PDF]
Sun S, Wang J, Xiao Y, Peng J, Zhou X.
europepmc +1 more source
A novel transformer-based DL model enhanced by position-sensitive attention and gated hierarchical LSTM for aero-engine RUL prediction. [PDF]
Chen X.
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
A degradation index model for maintenance prediction run-to-failure in production systems. [PDF]
Zonta T +5 more
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
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
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

