Title : Multi Combination Pattern Labeling by using Deep Learning for Chameleon Rotary Machine Environment
Rotary machine sensor dataset for state diagnosis system
- Raw Dataset : 데이터 분야 - AI 데이터찾기 - AI-Hub (aihub.or.kr)
- FFT and Making F.P.MCPL dataset from raw vibration data
- download : 데이터 분야 - AI 데이터찾기 - AI-Hub (aihub.or.kr)
└─ FFT&F.P.MCPL.ipynb
- F.P.MCPL dataset for DNN validation
- download: BDJ_Data - Google Drive , file name : new_data.zip
- This dataset was constructed from the raw vibration data in the above-mentioned.
│ Journal of Bigdata_DNN_Model1.ipynb
│ Journal of Bigdata_DNN_Model2.ipynb
│ Journal of Bigdata_DNN_Model3.ipynb
|
└─ Models
| dnn_model1.h
| dnn_model2.h
└─dnn_model3.h
- Making Spectrogram images and S.P.MCPL dataset from raw vibration data
- download : 데이터 분야 - AI 데이터찾기 - AI-Hub (aihub.or.kr)
| Journal of Bigdata_Spectrogram_S.P.MCPL_Testset.ipynb
└─ Journal of Bigdata_Spectrogram_S.P.MCPL_TrainSet.ipynb
- S.P.MCPL Spectrogram images based dataset for CNN validation
- download: BDJ_Data - Google Drive, file name: sp1.zip
- These spectrogram images were constructed from the raw vibration data in the above-mentioned.
│ Axis_Belt_ConfusionMatrix.ipynb
│ Journal of Bigdata_Review_CNN1_TrainSet.ipynb
│ Journal of Bigdata_Review_CNN1_Validation of NewTestSet.ipynb
│ Journal of Bigdata_Review_CNN2_TrainSet.ipynb
│ Journal of Bigdata_Review_CNN2_Validation of NewTestSet.ipynb
│ Journal of Bigdata_Review_CNN3_TrainSet.ipynb
│ Journal of Bigdata_Review_CNN3_Validation of NewTestSet.ipynb
│ S.P.MCPL.md
│
└─ Models
|cnn_saved_models_h5
| history2.h5
| history6.h5
└─ history9.h5