unikz22 / Selective-transfer-learning-based-on-tensor-representationLinks
☆32Updated last year
Alternatives and similar repositories for Selective-transfer-learning-based-on-tensor-representation
Users that are interested in Selective-transfer-learning-based-on-tensor-representation are comparing it to the libraries listed below
Sorting:
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆27Updated 10 months 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.☆23Updated 3 months ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- case study for remaining useful life estimation☆30Updated last year
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆48Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 3 years ago
- ☆25Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆39Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆52Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆38Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- ☆22Updated 4 years ago
- 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)☆53Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆36Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Transfer learning☆50Updated 3 years ago
- 基于深度学习的机械故障诊断☆34Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago
- ☆33Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- ☆34Updated 3 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- ☆23Updated 2 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆58Updated 10 months ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆67Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆29Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year