xxl4tomxu98 / NASA-Jet-Engine-Maintenance
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
☆29Updated last year
Alternatives and similar repositories for NASA-Jet-Engine-Maintenance:
Users that are interested in NASA-Jet-Engine-Maintenance are comparing it to the libraries listed below
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆25Updated 3 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.☆78Updated last year
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆85Updated last year
- ☆53Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated last year
- A collection of datasets for RUL estimation as Lightning Data Modules.☆43Updated 10 months 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…☆62Updated 5 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆96Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆56Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆50Updated 10 months ago
- ☆62Updated 4 years ago
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆29Updated 3 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆33Updated 5 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 3 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆19Updated 3 years ago
- ☆97Updated last year
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆112Updated 4 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆184Updated 2 months ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆62Updated last year
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆81Updated 6 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆36Updated 11 months ago
- ☆50Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆152Updated 11 months ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆30Updated last year
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆27Updated 10 months ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆132Updated 4 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆92Updated 5 years ago
- The code of DAST☆55Updated 2 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆49Updated 3 years ago
- Application of Transfer Learning for RUL Prediction☆26Updated 3 years ago