A cross-domain deep learning framework for remaining useful life prediction in industrial applications
A cross-domain deep learning framework based on a hybrid Convolutional Neural Network–Bidirectional Long Short-Term Memory architecture that extracts local degradation features through CNN layers and captures long-term dependencies via BiLSTM networks and indicates cross-domain adaptability under limited target-domain...