Vardoom / PredictiveMaintenanceNASA
LSTM Neural Network to predict NASA's engines failure based on know failures and parameters.
☆22Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for PredictiveMaintenanceNASA
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆81Updated 5 years ago
- RUL Nasa Turbofan Dataset (paper)☆26Updated 4 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆79Updated 5 years ago
- Prediction of remaining useful life (RUL)☆17Updated 6 years ago
- Remaining Useful Life (NASA CMAPS Dataset)☆41Updated 5 years ago
- Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.☆37Updated 5 years ago
- Similarity matching based remaining useful life estimation☆29Updated 6 years ago
- A project focused on the improvement for remaining useful life estimation.☆22Updated 7 years ago
- ☆48Updated last year
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆28Updated 5 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆86Updated 5 years ago
- Spark - Bearing RUL Predictions☆19Updated 7 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆122Updated 2 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆67Updated 6 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆30Updated 4 years ago
- 轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类☆31Updated 5 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆231Updated 4 years ago
- data set and models for IEEE access paper "Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"☆20Updated 4 years ago
- Remain useful life prediction of rolling bearing.☆46Updated 4 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆46Updated 2 years ago
- Tool wear prediction by residual CNN☆73Updated 3 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆42Updated 3 years ago
- Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.☆28Updated 5 years ago
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆19Updated 4 years ago
- with LSTM method to solve bearing fault diagnosis classification☆62Updated 7 years ago
- ☆10Updated 6 years ago
- For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.☆12Updated 4 years ago
- ☆23Updated 2 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 3 years ago
- Nasa Engine Data for prognostics challenge competition at the International Conference on Prognostics and Health Management (PHM08)☆13Updated 5 years ago