TL-UESTC / WADALinks
The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.
☆37Updated 2 years ago
Alternatives and similar repositories for WADA
Users that are interested in WADA are comparing it to the libraries listed below
Sorting:
- 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.☆25Updated 9 months ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆32Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆53Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆46Updated 3 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆35Updated 9 months ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆31Updated last year
- case study for remaining useful life estimation☆34Updated last year
- Remaining useful life prediction for N-CMAPSS dataset☆19Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23Updated 3 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆80Updated 2 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆12Updated 2 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆27Updated last year
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆49Updated 3 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆15Updated last year
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆41Updated 7 months ago
- ☆34Updated 3 years ago
- ☆33Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆58Updated 5 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
- ☆64Updated 5 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆38Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- ☆23Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Updated 3 years ago
- ☆17Updated 4 years ago
- Code for: RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings (…☆17Updated 3 weeks ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 2 years ago
- ☆16Updated 3 years ago