FCTAN: A frequency-constrained temporal attention network for rolling bearing remaining useful life prediction
Experimental results on two public bearing degradation datasets demonstrate that the proposed FCTAN achieves superior prediction accuracy and stability compared with several state-of-the-art methods, validating its effectiveness for bearing RUL prediction under complex and noisy operating conditions.