Lucky-Loek / ieee-phm-2012-data-challenge-datasetLinks
Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
☆152Updated 5 years ago
Alternatives and similar repositories for ieee-phm-2012-data-challenge-dataset
Users that are interested in ieee-phm-2012-data-challenge-dataset are comparing it to the libraries listed below
Sorting:
- Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute☆148Updated 7 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆304Updated 4 years ago
- ☆291Updated 7 years ago
- Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction☆470Updated 4 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆147Updated 3 years ago
- ☆71Updated 4 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆166Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆191Updated last year
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆62Updated 7 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆85Updated 7 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆99Updated 6 years ago
- given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a ne…☆67Updated 6 years ago
- ☆104Updated last year
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆279Updated 3 years ago
- ☆178Updated 4 years ago
- ☆56Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆46Updated 3 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆113Updated 2 years ago
- ☆59Updated 2 years ago
- Multiclass classification of vibration signals of faulty bearings☆101Updated 6 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆129Updated 5 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆370Updated 3 years ago
- ☆215Updated 6 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆171Updated 4 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆285Updated 4 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆90Updated 7 years ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆100Updated 4 years ago
- ☆65Updated 5 years ago
- A data loader class for the FEMTO-ST Ball Bearing Dataset☆10Updated 5 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆83Updated 2 years ago