xxl4tomxu98 / NASA-Jet-Engine-Maintenance
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
☆28Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for NASA-Jet-Engine-Maintenance
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆26Updated 3 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 3 years ago
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆26Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆49Updated last year
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆45Updated 5 months ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆52Updated 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.☆75Updated last year
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated last year
- ☆49Updated last year
- A collection of datasets for RUL estimation as Lightning Data Modules.☆40Updated 5 months ago
- Application of Transfer Learning for RUL Prediction☆24Updated 3 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆20Updated 3 years ago
- ☆48Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆22Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆19Updated last year
- ☆61Updated 3 years ago
- Remaining useful life prediction by Transformer-based Model☆41Updated 2 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆89Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆43Updated 3 years ago
- case study for remaining useful life estimation☆23Updated 7 months ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆17Updated 3 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆33Updated 6 months ago
- The code of DAST☆52Updated 2 years ago
- The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…☆10Updated 2 years ago
- Transfer Learning on RUL estimation☆10Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆17Updated 2 years ago
- This repository holds the results of a project on Remaining Useful Lifetime estimation of a turbofan engine for a course of Delft Univers…☆13Updated 6 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆77Updated last year
- Remain useful life prediction of rolling bearing.☆47Updated 4 years ago