├── .gitignore ├── CNNlayers.py ├── Cancer_pipeline.py ├── Cancer_wdbc.csv ├── MNIST_data ├── t10k-images-idx3-ubyte.gz ├── t10k-labels-idx1-ubyte.gz ├── train-images-idx3-ubyte.gz └── train-labels-idx1-ubyte.gz ├── PaperFigs ├── fig1.emf ├── fig1.svg ├── fig2.emf ├── fig2.svg ├── fig3.emf ├── fig3.svg ├── fig4.emf ├── fig4.svg ├── 图片1.png ├── 图片2.png ├── 图片3.png └── 图片4.png ├── Paper_get_ac.py ├── Paper_plot.py ├── README.md ├── SaveTE ├── TE_train_model.ckpt.data-00000-of-00001 ├── TE_train_model.ckpt.index ├── TE_train_model.ckpt.meta └── checkpoint ├── SaveTE_Feature ├── SaveTE_Feature.ckpt.data-00000-of-00001 ├── SaveTE_Feature.ckpt.index ├── SaveTE_Feature.ckpt.meta └── checkpoint ├── TE_FinalModel10.1_LSTM+MultiClassNN.py ├── TE_FinalModel10.2_LSTM+MultiClassNN.py ├── TE_FinalModel1_BP.py ├── TE_FinalModel2_SVM.py ├── TE_FinalModel3.1_PCA+NN.py ├── TE_FinalModel3.2_PCA+NN.py ├── TE_FinalModel4.1_KPCA+NN.py ├── TE_FinalModel4.2_KPCA+NN.py ├── TE_FinalModel5.1_DAE+NN.py ├── TE_FinalModel5.2_DAE+NN.py ├── TE_FinalModel6.1_LSTM+NN.py ├── TE_FinalModel6.2_LSTM+NN.py ├── TE_FinalModel7_LSTM+Logistic.py ├── TE_FinalModel8_LSTM+SVM.py ├── TE_FinalModel9.1_DAE+MultiClassNN.py ├── TE_FinalModel9.2_DAE+MultiClassNN.py ├── TE_FinalMultiModel1_BP.py ├── TE_FinalMultiModel2_SVM.py ├── TE_FinalMultiModel3_PCA+NN.py ├── TE_FinalMultiModel4_KPCA+NN.py ├── TE_FinalMultiModel5_DAE+NN.py ├── TE_FinalMultiModel6_LSTM+NN.py ├── TE_GridSearch_LSTM.py ├── TE_MI.py ├── TE_Main_DAE+Softmax.py ├── TE_Main_LSTM&DAE+Softmax.py ├── TE_MultiClass_LSTM.py ├── TE_MultiClass_RNN.py ├── TE_OneClass_LSTM.py ├── TE_OneClass_LSTM_tf.py ├── TE_OneClass_RNN.py ├── TE_SaveDAE ├── Classification │ ├── SaveDAE_NeuralNetwork.ckpt.data-00000-of-00001 │ ├── SaveDAE_NeuralNetwork.ckpt.index │ ├── SaveDAE_NeuralNetwork.ckpt.meta │ └── checkpoint ├── Fault │ ├── SaveDAE_Fault.ckpt.data-00000-of-00001 │ ├── SaveDAE_Fault.ckpt.index │ ├── SaveDAE_Fault.ckpt.meta │ └── checkpoint ├── Feature │ ├── SaveDAE_Normal.ckpt.data-00000-of-00001 │ ├── SaveDAE_Normal.ckpt.index │ ├── SaveDAE_Normal.ckpt.meta │ └── checkpoint └── Normal │ ├── SaveDAE_Normal.ckpt.data-00000-of-00001 │ ├── SaveDAE_Normal.ckpt.index │ ├── SaveDAE_Normal.ckpt.meta │ └── checkpoint ├── TE_SaveLSTM ├── Classification │ ├── SaveLSTM_NeuralNetwork.ckpt.data-00000-of-00001 │ ├── SaveLSTM_NeuralNetwork.ckpt.index │ ├── SaveLSTM_NeuralNetwork.ckpt.meta │ └── checkpoint ├── Fault │ ├── SaveLSTM_Fault.ckpt.data-00000-of-00001 │ ├── SaveLSTM_Fault.ckpt.data-00000-of-00001.tempstate14163663232165371604 │ ├── SaveLSTM_Fault.ckpt.index │ ├── SaveLSTM_Fault.ckpt.meta │ └── checkpoint ├── Feature │ ├── SaveLSTM_Normal.ckpt.data-00000-of-00001 │ ├── SaveLSTM_Normal.ckpt.index │ ├── SaveLSTM_Normal.ckpt.meta │ └── checkpoint └── Normal │ ├── SaveLSTM_Normal.ckpt.data-00000-of-00001 │ ├── SaveLSTM_Normal.ckpt.index │ ├── SaveLSTM_Normal.ckpt.meta │ └── checkpoint ├── TE_SaveMainModel_DAE ├── Main_model_DAE.ckpt.data-00000-of-00001 ├── Main_model_DAE.ckpt.index ├── Main_model_DAE.ckpt.meta ├── Main_model_DAE.ckpt.meta.tmpe249034858f143dda81c2218606b0aa2 └── checkpoint ├── TE_SaveMainModel_LSTM&DAE1 ├── PreModel.ckpt.data-00000-of-00001 ├── PreModel.ckpt.index ├── PreModel.ckpt.meta └── checkpoint ├── TE_SaveMainModel_LSTM&DAE2 ├── FinalModel.ckpt.data-00000-of-00001 ├── FinalModel.ckpt.index ├── FinalModel.ckpt.meta └── checkpoint ├── TE_SaveMainModel_TheBestModel ├── FinalModel.ckpt.data-00000-of-00001 ├── FinalModel.ckpt.index ├── FinalModel.ckpt.meta └── checkpoint ├── TE_SaveMulti ├── Classification │ ├── SaveNN.ckpt.data-00000-of-00001 │ ├── SaveNN.ckpt.index │ ├── SaveNN.ckpt.meta │ └── checkpoint ├── FeatureDAE │ ├── SaveFeatureDAE.ckpt.data-00000-of-00001 │ ├── SaveFeatureDAE.ckpt.index │ ├── SaveFeatureDAE.ckpt.meta │ └── checkpoint └── FeatureLSTM │ ├── SaveFeatureLSTM.ckpt.data-00000-of-00001 │ ├── SaveFeatureLSTM.ckpt.index │ ├── SaveFeatureLSTM.ckpt.meta │ └── checkpoint ├── TE_Test_data.csv ├── TE_Train_data.csv ├── TE_data ├── csv │ ├── test │ │ ├── d0_te.csv │ │ ├── d10_te.csv │ │ ├── d11_te.csv │ │ ├── d12_te.csv │ │ ├── d13_te.csv │ │ ├── d14_te.csv │ │ ├── d15_te.csv │ │ ├── d16_te.csv │ │ ├── d17_te.csv │ │ ├── d18_te.csv │ │ ├── d19_te.csv │ │ ├── d1_te.csv │ │ ├── d20_te.csv │ │ ├── d21_te.csv │ │ ├── d2_te.csv │ │ ├── d3_te.csv │ │ ├── d4_te.csv │ │ ├── d5_te.csv │ │ ├── d6_te.csv │ │ ├── d7_te.csv │ │ ├── d8_te.csv │ │ └── d9_te.csv │ └── train │ │ ├── d0.csv │ │ ├── d1.csv │ │ ├── d10.csv │ │ ├── d11.csv │ │ ├── d12.csv │ │ ├── d13.csv │ │ ├── d14.csv │ │ ├── d15.csv │ │ ├── d16.csv │ │ ├── d17.csv │ │ ├── d18.csv │ │ ├── d19.csv │ │ ├── d2.csv │ │ ├── d20.csv │ │ ├── d21.csv │ │ ├── d3.csv │ │ ├── d4.csv │ │ ├── d5.csv │ │ ├── d6.csv │ │ ├── d7.csv │ │ ├── d8.csv │ │ └── d9.csv ├── raw_data │ ├── d00.dat │ ├── d00_te.dat │ ├── d01.dat │ ├── d01_te.dat │ ├── d02.dat │ ├── d02_te.dat │ ├── d03.dat │ ├── d03_te.dat │ ├── d04.dat │ ├── d04_te.dat │ ├── d05.dat │ ├── d05_te.dat │ ├── d06.dat │ ├── d06_te.dat │ ├── d07.dat │ ├── d07_te.dat │ ├── d08.dat │ ├── d08_te.dat │ ├── d09.dat │ ├── d09_te.dat │ ├── d10.dat │ ├── d10_te.dat │ ├── d11.dat │ ├── d11_te.dat │ ├── d12.dat │ ├── d12_te.dat │ ├── d13.dat │ ├── d13_te.dat │ ├── d14.dat │ ├── d14_te.dat │ ├── d15.dat │ ├── d15_te.dat │ ├── d16.dat │ ├── d16_te.dat │ ├── d17.dat │ ├── d17_te.dat │ ├── d18.dat │ ├── d18_te.dat │ ├── d19.dat │ ├── d19_te.dat │ ├── d20.dat │ ├── d20_te.dat │ ├── d21.dat │ └── d21_te.dat └── 数据集说明.txt ├── TE_data_str2float.py ├── TE_function.py ├── TE_main1_DAE.py ├── TE_main1_LSTM.py ├── TE_main1_PCA.py ├── TE_main1_RNN.py ├── TE_main1_myLSTM.py ├── TE_main2_Logistic.py ├── TE_main2_NN.py ├── TE_main2_SVM.py ├── TE_main2_myNN.py ├── TE_main_tSNE.py ├── TE_plot.py ├── Tennessee-Eastman-master ├── README.md ├── TE License ├── Tennessee Eastman Dataset.zip ├── Tennessee Eastman Dataset │ └── XGBoost │ │ ├── TE_XGB.py │ │ └── TE_process_dataset │ │ ├── d00.dat │ │ ├── d00_te.dat │ │ ├── d01.dat │ │ ├── d01_te.dat │ │ ├── d02.dat │ │ ├── d02_te.dat │ │ ├── d03.dat │ │ ├── d03_te.dat │ │ ├── d04.dat │ │ ├── d04_te.dat │ │ ├── d05.dat │ │ ├── d05_te.dat │ │ ├── d06.dat │ │ ├── d06_te.dat │ │ ├── d07.dat │ │ ├── d07_te.dat │ │ ├── d08.dat │ │ ├── d08_te.dat │ │ ├── d09.dat │ │ ├── d09_te.dat │ │ ├── d10.dat │ │ ├── d10_te.dat │ │ ├── d11.dat │ │ ├── d11_te.dat │ │ ├── d12.dat │ │ ├── d12_te.dat │ │ ├── d13.dat │ │ ├── d13_te.dat │ │ ├── d14.dat │ │ ├── d14_te.dat │ │ ├── d15.dat │ │ ├── d15_te.dat │ │ ├── d16.dat │ │ ├── d16_te.dat │ │ ├── d17.dat │ │ ├── d17_te.dat │ │ ├── d18.dat │ │ ├── d18_te.dat │ │ ├── d19.dat │ │ ├── d19_te.dat │ │ ├── d20.dat │ │ ├── d20_te.dat │ │ ├── d21.dat │ │ ├── d21_te.dat │ │ ├── importDataTE.py │ │ ├── readme.txt │ │ ├── temain.f.txt │ │ ├── temain_mod.f.txt │ │ └── teprob.f.txt └── Tennessee Eastman Supervised.py ├── Thesis-stuff-master ├── DecisionTree.py ├── README.md ├── TE_XGB.py └── main.py ├── accuracy_test.csv ├── accuracy_train.csv ├── cap.py ├── dae18.png ├── images1.0 ├── 1.直接分类 │ ├── BP │ │ ├── 1.png │ │ ├── 13.png │ │ ├── 15.png │ │ ├── 21.png │ │ └── 8.png │ └── SVM │ │ ├── 1.png │ │ ├── 13.png │ │ ├── 15.png │ │ ├── 21.png │ │ └── 8.png ├── 2.特征提取+分类 │ ├── DAE │ │ ├── 1.png │ │ ├── 13.png │ │ ├── 13c.png │ │ ├── 13x.png │ │ ├── 15.png │ │ ├── 15c.png │ │ ├── 15x.png │ │ ├── 1c.png │ │ ├── 1x.png │ │ ├── 21.png │ │ ├── 21c.png │ │ ├── 21x.png │ │ ├── 8.png │ │ ├── 8c.png │ │ └── 8x.png │ ├── KPCA │ │ ├── 1.png │ │ ├── 13.png │ │ ├── 13c.png │ │ ├── 13x.png │ │ ├── 15.png │ │ ├── 15c.png │ │ ├── 15x.png │ │ ├── 1c.png │ │ ├── 1x.png │ │ ├── 21.png │ │ ├── 21c.png │ │ ├── 21x.png │ │ ├── 8.png │ │ ├── 8c.png │ │ └── 8x.png │ ├── LSTM │ │ ├── 1.png │ │ ├── 13.png │ │ ├── 13c.png │ │ ├── 13x.png │ │ ├── 15.png │ │ ├── 15c.png │ │ ├── 15x.png │ │ ├── 1c.png │ │ ├── 1x.png │ │ ├── 21.png │ │ ├── 21c.png │ │ ├── 21x.png │ │ ├── 8.png │ │ ├── 8c.png │ │ └── 8x.png │ └── PCA │ │ ├── 1.png │ │ ├── 13.png │ │ ├── 13c.png │ │ ├── 13x.png │ │ ├── 15.png │ │ ├── 15c.png │ │ ├── 15x.png │ │ ├── 1c.png │ │ ├── 1x.png │ │ ├── 21.png │ │ ├── 21c.png │ │ ├── 21x.png │ │ ├── 8.png │ │ ├── 8c.png │ │ └── 8x.png └── 3.特征提取+多分类 │ ├── DAE │ ├── 1.png │ ├── 13.png │ ├── 15.png │ ├── 21.png │ ├── 8.png │ ├── test.png │ └── train.png │ └── LSTM │ ├── 1.png │ ├── 13.png │ ├── 15.png │ ├── 21.png │ ├── 8.png │ ├── test.png │ └── train.png ├── images2.0 ├── 1.直接分类 │ ├── BP │ │ ├── 1.png │ │ ├── 14.png │ │ ├── 18.png │ │ ├── 6.png │ │ └── 9.png │ └── SVM │ │ ├── 1.png │ │ ├── 14.png │ │ ├── 18.png │ │ ├── 6.png │ │ └── 9.png └── 2.特征提取+分类 │ ├── DAE │ ├── 1.png │ ├── 14.png │ ├── 14c.png │ ├── 14x.png │ ├── 18.png │ ├── 18c.png │ ├── 18x.png │ ├── 1c.png │ ├── 1x.png │ ├── 6.png │ ├── 6c.png │ ├── 6x.png │ ├── 9.png │ ├── 9c.png │ └── 9x.png │ ├── KPCA │ ├── 1.png │ ├── 14.png │ ├── 14c.png │ ├── 14x.png │ ├── 18.png │ ├── 18c.png │ ├── 18x.png │ ├── 1c.png │ ├── 1x.png │ ├── 6.png │ ├── 6c.png │ ├── 6x.png │ ├── 9.png │ ├── 9c.png │ └── 9x.png │ ├── LSTM │ ├── 1.png │ ├── 14.png │ ├── 14c.png │ ├── 14x.png │ ├── 18.png │ ├── 18c.png │ ├── 18x.png │ ├── 1c.png │ ├── 1x.png │ ├── 6.png │ ├── 6c.png │ ├── 6x.png │ ├── 9.png │ ├── 9c.png │ └── 9x.png │ └── PCA │ ├── 1.png │ ├── 14.png │ ├── 14c.png │ ├── 14x.png │ ├── 18.png │ ├── 18c.png │ ├── 18x.png │ ├── 1c.png │ ├── 1x.png │ ├── 6.png │ ├── 6c.png │ ├── 6x.png │ ├── 9.png │ ├── 9c.png │ └── 9x.png ├── images3.0 ├── 1.BP │ ├── 1.png │ ├── 14.png │ ├── 18.png │ ├── 2.png │ └── 6.png ├── 2.SVM │ ├── 1.png │ ├── 14.png │ ├── 18.png │ ├── 2.png │ └── 6.png ├── 3.PCA │ ├── 1.png │ ├── 14.png │ ├── 18.png │ ├── 2.png │ ├── 6.png │ ├── test.png │ └── train.png ├── 4.KPCA │ ├── 1.png │ ├── 14.png │ ├── 18.png │ ├── 2.png │ ├── 6.png │ ├── test.png │ └── train.png ├── 5.DAE │ ├── 1.png │ ├── 14.png │ ├── 18.png │ ├── 2.png │ ├── 6.png │ ├── test.png │ └── train.png ├── 6.LSTM │ ├── 1.png │ ├── 14.png │ ├── 18.png │ ├── 2.png │ ├── 6.png │ ├── test.png │ └── train.png ├── Accuracy_DAE.png ├── Accuracy_LSTM.png ├── GridSearch_LSTM.png ├── hidden1_DAE.png └── hidden2_DAE.png ├── images4.0 ├── DAE.png ├── DDAE1.png ├── DDAE14.png ├── DDAE18.png ├── DDAE2.png ├── DDAE6.png ├── KPCA1.png ├── KPCA14.png ├── KPCA18.png ├── KPCA2.png ├── KPCA6.png ├── LLSTM1.png ├── LLSTM14.png ├── LLSTM18.png ├── LLSTM2.png ├── LLSTM6.png ├── PCA1.png ├── PCA14.png ├── PCA18.png ├── PCA2.png ├── PCA6.png ├── Softmax.png ├── bp1.png ├── bp14.png ├── bp18.png ├── bp2.png ├── bp6.png ├── dae1.png ├── dae14.png ├── dae18.png ├── dae2.png ├── dae6.png ├── lstm1.png ├── lstm14.png ├── lstm18.png ├── lstm2.png ├── lstm6.png ├── svm1.png ├── svm14.png ├── svm18.png ├── svm2.png ├── svm6.png ├── 不同模型的正确率.png ├── 不同模型的正确率（LSTM）.png ├── 特征dae.png ├── 特征kpca.png ├── 特征lstm.png ├── 特征pca.png ├── 网格搜索.png ├── 论文用图1.png ├── 论文用图2.png └── 论文用图3.png ├── plot3.png ├── plot_ac.csv ├── requirements.txt ├── 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