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Code for: RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings (2025)

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// repository documentation

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# rulsurv
Code for: "RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings (2025)"<br />

Preprint: https://arxiv.org/abs/2405.01614.

Requirements
----------------------
To run the models, please refer to [Requirements.txt](https://github.com/thecml/rulsurv/blob/main/requirements.txt).
The code was tested in a virtual environment with `Python 3.9`.

Training and prediction
--------
- Download the XJTU-SY dataset from [MEGA](https://mega.nz/file/pNskSbCS#16wn-o20cxWnjJXOS1XITga2GaRw4nrOvc6sPkWToT4)
- Unzip the data inside the main folder to create /data
- Make directories `mkdir results` and `mkdir plots`
- Make the timeseries dataset by running `python src/make_dataset.py`
- Run cross-validation by running `python src/run_cross_validation.py`
- Predict ISDs by running `python src/predict_isd_curves.py`
- Refer to `config.py` for model configuration and paths.

Citation
--------
If you find this paper useful in your work, please consider citing it:

```bibtex
@article{lillelund2025rulsurv,
  title={{RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings}},
  author={Lillelund, Christian Marius and Pannullo, Fernando and Jakobsen, Morten Opprud and Morante, Manuel and Pedersen, Christian Fischer},
  journal={arXiv preprint arXiv:2405.01614},
  year={2025}
}
```

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