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

arXiv: https://arxiv.org/abs/2501.07191 · HTML: https://mlsanity.com/paper/2501.07191/

## Key facts

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- First posted on arXiv 13 Jan 2025.

## Abstract (arXiv)

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.