Remaining Useful Life Prediction of Rolling Bearings Based on Multi-Scale Time-Frequency Features and Attention-BiLSTM
Remaining useful life (RUL) prediction of rolling bearings is essential for condition-based maintenance and reliability management of rotating machinery. To improve degradation representation and temporal modeling ability, this paper proposes a bearing RUL prediction method based on multiscale time-frequency features a...