jancervenka / turbofan_failure
Aircraft engine failure prediction model
☆28Updated last year
Related projects ⓘ
Alternatives and complementary repositories for turbofan_failure
- Similarity matching based remaining useful life estimation☆29Updated 6 years ago
- Predictive Maintenance System for Digital Factory Automation☆42Updated 5 years ago
- We will do a condition monitoring of a test hydraulic rig, using various sensor values and using xgboost for classification☆12Updated 6 years ago
- A project focused on the improvement for remaining useful life estimation.☆22Updated 7 years ago
- Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets☆28Updated 7 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆21Updated last year
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆20Updated 3 years ago
- Convolutional Neural Network based regression approach for estimating machinery's remaining useful life☆135Updated 5 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆46Updated 2 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆125Updated 3 years ago
- ☆29Updated 4 years ago
- time-series prediction for predictive maintenance☆49Updated 5 years ago
- LSTM Neural Network to predict NASA's engines failure based on know failures and parameters.☆22Updated 6 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆27Updated 6 months ago
- ☆23Updated 3 years ago
- Remaining Useful Life (NASA CMAPS Dataset)☆41Updated 5 years ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆40Updated 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
- Import, clean, and prepare data and conduct machine learning for fault detection in a wind turbine☆16Updated 7 years ago
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆63Updated 3 years ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆74Updated 3 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 3 years ago
- RUL Nasa Turbofan Dataset (paper)☆26Updated 4 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆67Updated 6 years ago
- Tool wear prediction by residual CNN☆73Updated 3 years ago
- Nasa Engine Data for prognostics challenge competition at the International Conference on Prognostics and Health Management (PHM08)☆13Updated 5 years ago
- ☆17Updated 3 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆80Updated 5 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆11Updated 6 months ago