RUL_prediction_LSTM

Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification

---

File Information

1. "PHM" is raw data. Data detail information can be obtained in *.
2. "Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification.pdf" is the paper I reproduce.
3. "lstm_rul.ipynb" is all the code.
4. "data" is the temporary variables.

Methods Description

1. Read data amd generate our dataset.
2. Generate time and frequency domain features from sampled data.
3. Calculate correlation, monotonicity and robust to make feature selection.
4. Build LSTM Model and analyse results.

---

Tips

If you have any problem, you can send an email [email protected] or make an issue directly. We can discuss together.