├── CITATION.cff ├── LICENSE.md ├── README.md ├── _config.yml ├── _layouts └── default.html ├── faq.md ├── index.md ├── notebooks └── cmapss_notebooks │ ├── CMAPSS_FD001_1D_CNN_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD001_LSTM_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD001_SVR_early_rul_125.ipynb │ ├── CMAPSS_FD001_random_forest_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD001_xgboost_linear_degradation_model.ipynb │ ├── CMAPSS_FD001_xgboost_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD002_1D_CNN_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD002_LSTM_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD002_SVR_early_rul_150.ipynb │ ├── CMAPSS_FD002_random_forest_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD002_xgboost_linear_degradation_model.ipynb │ ├── CMAPSS_FD002_xgboost_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD003_1D_CNN_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD003_LSTM_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD003_SVR_early_rul_125.ipynb │ ├── CMAPSS_FD003_random_forest_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD003_xgboost_linear_degradation_model.ipynb │ ├── CMAPSS_FD003_xgboost_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD004_1D_CNN_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD004_LSTM_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD004_SVR_early_rul_150.ipynb │ ├── CMAPSS_FD004_random_forest_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_FD004_xgboost_linear_degradation_model.ipynb │ ├── CMAPSS_FD004_xgboost_piecewise_linear_degradation_model.ipynb │ ├── CMAPSS_data_description_and_preprocessing.ipynb │ ├── CMAPSS_using_saved_model_1D_CNN_FD002.ipynb │ ├── CMAPSS_using_saved_model_1D_CNN_FD004.ipynb │ ├── CMAPSS_using_saved_model_deep_learning.ipynb │ ├── Reproduce_results_of_FD002_early_rul_150_LSTM.ipynb │ ├── Reproduce_results_of_FD004_early_rul_150_LSTM.ipynb │ ├── attention_based_RUL │ ├── CMAPSS_FD001_additive_attention_early_rul_125_GRU_based_final.ipynb │ ├── CMAPSS_FD002_additive_attention_early_rul_150_GRU_based_final.ipynb │ ├── CMAPSS_FD003_additive_attention_early_rul_125_GRU_based_final.ipynb │ ├── CMAPSS_FD004_additive_attention_early_rul_150_GRU_based_final.ipynb │ ├── Reproduce_results_of_FD001_early_rul_125_GRU.ipynb │ ├── Reproduce_results_of_FD002_early_rul_150_GRU.ipynb │ ├── Reproduce_results_of_FD003_early_rul_125_GRU.ipynb │ ├── Reproduce_results_of_FD004_early_rul_150_GRU.ipynb │ ├── attention_mechanism.png │ └── saved_weights │ │ ├── FD001 │ │ ├── FD001_early_rul_125_GRU_rmse_14_21.data-00000-of-00001 │ │ ├── FD001_early_rul_125_GRU_rmse_14_21.index │ │ └── checkpoint │ │ ├── FD002 │ │ ├── FD002_early_rul_150_GRU_rmse_27_99.data-00000-of-00001 │ │ ├── FD002_early_rul_150_GRU_rmse_27_99.index │ │ └── checkpoint │ │ ├── FD003 │ │ ├── FD003_early_rul_125_GRU_rmse_14_64.data-00000-of-00001 │ │ ├── FD003_early_rul_125_GRU_rmse_14_64.index │ │ └── checkpoint │ │ └── FD004 │ │ ├── FD004_early_rul_150_GRU_rmse_26_78.data-00000-of-00001 │ │ ├── FD004_early_rul_150_GRU_rmse_26_78.index │ │ └── checkpoint │ └── data_windowing_prognosis.png └── saved_models └── cmapss ├── FD001_1D_CNN_piecewise_RMSE_15.8402.h5 ├── FD001_LSTM_piecewise_RMSE_15.1655.h5 ├── FD002_1D_CNN_piecewise_RMSE_30.2286.h5 ├── FD003_1D_CNN_piecewise_RMSE_15.7811.h5 ├── FD003_LSTM_piecewise_RMSE_15.54.h5 ├── FD004_1D_CNN_piecewise_RMSE_32.3525.h5 ├── LSTM_FD002 ├── FD002_early_rul_150_LSTM_rmse_27.5745.data-00000-of-00001 ├── FD002_early_rul_150_LSTM_rmse_27.5745.index └── checkpoint └── LSTM_FD004 ├── FD004_early_rul_150_LSTM_rmse_28.2109.data-00000-of-00001 ├── FD004_early_rul_150_LSTM_rmse_28.2109.index └── checkpoint /CITATION.cff: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/biswajitsahoo1111/rul_codes_open/HEAD/CITATION.cff 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