xxl4tomxu98 / NASA-Jet-Engine-MaintenanceLinks
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
☆29Updated 2 years ago
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
Sorting:
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 4 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.☆83Updated 2 years ago
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆33Updated 4 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 4 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆61Updated 2 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆113Updated 2 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆166Updated 2 years ago
- ☆59Updated 2 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆38Updated last year
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆191Updated last year
- The code of DAST☆61Updated 3 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆57Updated last year
- ☆104Updated last year
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆129Updated 5 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆103Updated 2 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆208Updated 11 months ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆12Updated last year
- ☆65Updated 5 years ago
- A collection of datasets for RUL estimation as Lightning Data Modules.☆51Updated last year
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆147Updated 3 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆51Updated 4 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆37Updated 5 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆99Updated 6 years ago
- ☆12Updated last year
- Application of Transfer Learning for RUL Prediction☆29Updated 4 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆30Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆39Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆82Updated 2 years ago