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

Laifa Tao, Zhengduo Zhao, Xuesong Wang, Bin Li, Wenchao Zhan +6 more
1/13/2025
eess.SYcs.LG

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Abstract

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.

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Cite this paper

@article{tao2025pretrained,
  title  = {Pre-Trained Large Language Model Based Remaining Useful Life Transfer Prediction of Bearing},
  author = {Laifa Tao and Zhengduo Zhao and Xuesong Wang and Bin Li and Wenchao Zhan and Xuanyuan Su and Shangyu Li and Qixuan Huang and Haifei Liu and Chen Lu and Zhixuan Lian},
  year   = {2025},
  eprint = {2501.07191},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.07191v1}
}

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