ritu-thombre99 / RUL-Prediction
Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM
☆26Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for RUL-Prediction
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆44Updated 5 months 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
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆42Updated 3 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆89Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆51Updated last year
- Remaining useful life prediction by Transformer-based Model☆41Updated 2 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆18Updated last year
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆26Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆22Updated last year
- Application of Transfer Learning for RUL Prediction☆24Updated 3 years ago
- ☆50Updated last year
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆37Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆17Updated 3 years ago
- ☆29Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆46Updated 4 years ago
- foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationRemaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆10Updated 8 months ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆30Updated 4 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆17Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated last year
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆82Updated 3 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆124Updated 7 months ago
- case study for remaining useful life estimation☆22Updated 6 months ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆32Updated 6 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…☆60Updated 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
- ☆10Updated 4 years ago
- The code of DAST☆51Updated 2 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆101Updated 4 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆20Updated 5 months ago
- ☆16Updated 2 years ago