... of degradation increments or drift terms. They do not explicitly derive degradation evolution from mechanistic irreversible kinetic principles, nor are they generally embedded within physics-informed learning architectures that structurally enforce thermodynamic admissibility. As a result, while stochastic...

...) , Du et al. (2024) , Wang et al. (2020) CNN/LSTM models for RUL estimation and health classification using vibration or AE data Trained on limited experimental or FEA data; lack generalization and physical interpretability Synthetic Data and Physics-Informed Learning Fabian...