Ali-Alhamaly / Turbofan_usefull_life_predictionLinks
given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.
☆65Updated 5 years ago
Alternatives and similar repositories for Turbofan_usefull_life_prediction
Users that are interested in Turbofan_usefull_life_prediction are comparing it to the libraries listed below
Sorting:
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆34Updated 5 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆83Updated 6 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆93Updated 5 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆88Updated 6 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆114Updated 4 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 3 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- ☆56Updated 2 years ago
- ☆64Updated 4 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆139Updated 3 years ago
- ☆51Updated 2 years ago
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆30Updated 3 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆31Updated 6 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆45Updated 3 years ago
- For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.☆15Updated 4 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆101Updated 2 years ago
- ☆99Updated last year
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆84Updated 2 years ago
- RUL Nasa Turbofan Dataset (paper)☆26Updated 5 years ago
- A data loader class for the FEMTO-ST Ball Bearing Dataset☆10Updated 5 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆67Updated last year
- Spark - Bearing RUL Predictions☆19Updated 8 years ago
- 完整的航空发动机一维卷积神经网络训练模型☆59Updated 6 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆32Updated 2 years ago
- ☆66Updated 4 years ago
- Remaining Useful Life (NASA CMAPS Dataset)☆43Updated 6 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆90Updated 2 years ago