TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-Adaption
The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.
☆20Updated 3 weeks ago
Alternatives and similar repositories for Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-Adaption:
Users that are interested in Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-Adaption are comparing it to the libraries listed below
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆34Updated last year
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆29Updated 3 weeks ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 2 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆24Updated 10 months ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆27Updated 8 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- Code for: A probabilistic estimation of remaining useful life from censored time-to-event data (2024)☆11Updated 2 weeks ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆35Updated last year
- Remaining useful life prediction by Transformer-based Model☆46Updated 2 years ago
- case study for remaining useful life estimation☆29Updated 11 months ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆15Updated 2 years ago
- Benmarking for GNN-based RUL prediction☆22Updated 5 months ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆20Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 2 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆46Updated 3 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆13Updated 4 months ago
- Transfer Learning on RUL estimation☆12Updated 2 years ago
- ☆15Updated 2 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆24Updated 2 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
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆36Updated 11 months ago
- ☆33Updated 2 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated 2 years ago
- ☆30Updated last year
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆19Updated 2 years ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated 10 months ago