TeddyChe2003 / XJTU-SY-bearings-dataset-preparation
☆10Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for XJTU-SY-bearings-dataset-preparation
- Remaining useful life prediction by Transformer-based Model☆41Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆38Updated 2 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆30Updated last year
- case study for remaining useful life estimation☆22Updated 6 months ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆29Updated last year
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆47Updated last year
- 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.☆14Updated 8 months ago
- Transfer learning☆45Updated 3 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆21Updated last year
- ☆28Updated last year
- Remain useful life prediction of rolling bearing.☆46Updated 4 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆51Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆30Updated 2 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆42Updated 2 years ago
- ☆29Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆28Updated last year
- code for DFAWnet☆30Updated last year
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆20Updated 5 months ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆15Updated 4 months ago
- A few shot learning repository for bearing fault diagnosis.☆60Updated last year
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆35Updated 2 weeks ago
- ☆45Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆17Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆48Updated 3 years ago
- ☆34Updated 2 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆37Updated last year
- ☆47Updated 10 months ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆20Updated 2 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆19Updated last year
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆52Updated 2 years ago