FCTAN: A frequency-constrained temporal attention network for rolling bearing remaining useful life prediction
Accurate remaining useful life (RUL) prediction of rolling bearings is crucial for condition-based maintenance of rotating machinery. However, vibration-based degradation modeling remains challenging due to strong noise interference, multi-scale temporal dynamics, and the difficulty of jointly capturing local degradati...