Paper ID: 2501.07191

Pre-Trained Large Language Model Based Remaining Useful Life Transfer Prediction of Bearing

Laifa Tao, Zhengduo Zhao, Xuesong Wang, Bin Li, Wenchao Zhan, Xuanyuan Su, Shangyu Li, Qixuan Huang, Haifei Liu, Chen Lu, Zhixuan Lian

Accurately predicting the remaining useful life (RUL) of rotating machinery, such as bearings, is essential for ensuring equipment reliability and minimizing unexpected industrial failures. Traditional data-driven deep learning methods face challenges in practical settings due to inconsistent training and testing data distributions and limited generalization for long-term predictions.

Submitted: Jan 13, 2025