Vardoom / PredictiveMaintenanceNASALinks
LSTM Neural Network to predict NASA's engines failure based on know failures and parameters.
☆23Updated 7 years ago
Alternatives and similar repositories for PredictiveMaintenanceNASA
Users that are interested in PredictiveMaintenanceNASA are comparing it to the libraries listed below
Sorting:
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆88Updated 6 years ago
- RUL Nasa Turbofan Dataset (paper)☆26Updated 5 years ago
- Similarity matching based remaining useful life estimation☆29Updated 7 years ago
- Predict Remaining Useful Life (RUL) with LTSM networks in Keras☆9Updated 7 years ago
- Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.☆36Updated 6 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆141Updated 3 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆32Updated 6 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆83Updated 6 years ago
- ☆50Updated 2 years ago
- Prediction of remaining useful life (RUL)☆17Updated 7 years ago
- A project focused on the improvement for remaining useful life estimation.☆21Updated 7 years ago
- Remaining Useful Life (NASA CMAPS Dataset)☆44Updated 6 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆69Updated 6 years ago
- Spark - Bearing RUL Predictions☆19Updated 8 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆95Updated 5 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆34Updated 5 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆52Updated 3 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆242Updated 4 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…☆65Updated 5 years ago
- with LSTM method to solve bearing fault diagnosis classification☆61Updated 7 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.☆84Updated 2 years ago
- Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.☆30Updated 5 years ago
- For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.☆15Updated 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 5 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆27Updated 4 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆46Updated 3 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆91Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.☆20Updated 5 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☆32Updated 6 years ago