├── .gitignore ├── data_processing.ipynb ├── dataset_csv_merge.ipynb ├── docs ├── dataset │ ├── femto dataset │ │ ├── IEEEPHM2012-Challenge-Details.pdf │ │ └── PHM33.pdf │ ├── ims dataset │ │ └── Readme Document for IMS Bearing Data.pdf │ └── time varying rotational speed dataset │ │ └── 1-s2.0-S2352340918314124-main.pdf ├── images │ ├── coefficient_interpolation.png │ ├── failure_probability1.png │ ├── failure_probability2.png │ ├── failure_probability3.png │ ├── fft1.png │ ├── fft2.png │ ├── scores_random_forest.png │ └── some_results.png └── papers │ └── Predicting remaining useful life of rolling bearings based on deep feature representation and long short-term memory neural network.pdf ├── failure_probability_predict.ipynb ├── readme.md ├── regression.ipynb ├── requirements.txt ├── setup.py └── utils ├── __init__.py ├── data_model.py ├── derivative.c ├── derivative.cpython-36m-x86_64-linux-gnu.so ├── preprocessing.py ├── preprocessing_c.c ├── 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