TL-UESTC / Domain-Adaptive-Remaining-Useful-Life-Prediction-with-Transformer
Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer
☆61Updated last year
Alternatives and similar repositories for Domain-Adaptive-Remaining-Useful-Life-Prediction-with-Transformer:
Users that are interested in Domain-Adaptive-Remaining-Useful-Life-Prediction-with-Transformer are comparing it to the libraries listed below
- Remaining useful life prediction by Transformer-based Model☆46Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 2 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆34Updated 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
- case study for remaining useful life estimation☆29Updated 11 months ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆30Updated last year
- Remain useful life prediction of rolling bearing.☆55Updated 4 years ago
- ☆32Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆50Updated 9 months ago
- The code of DAST☆55Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆35Updated last year
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆23Updated 10 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- ☆19Updated 2 years ago
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆20Updated 2 weeks ago
- ☆53Updated last year
- Benmarking for GNN-based RUL prediction☆22Updated 5 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆28Updated 2 weeks ago
- Application of Transfer Learning for RUL Prediction☆25Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 2 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆44Updated 3 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…☆13Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆20Updated 3 years ago
- Using LSTM to predict bearings' remaining useful life☆47Updated 3 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆96Updated last year
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆46Updated 3 years ago
- Transfer Learning on RUL estimation☆11Updated 2 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆26Updated 8 months ago