unikz22 / Selective-transfer-learning-based-on-tensor-representation
☆29Updated 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
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆24Updated 7 months 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☆33Updated 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.☆20Updated 11 months ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆34Updated last year
- case study for remaining useful life estimation☆28Updated 10 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆33Updated last year
- ☆41Updated last week
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆46Updated 3 years ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆27Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆49Updated 3 years ago
- ☆31Updated 2 years ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆19Updated 9 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆36Updated 2 years ago
- ☆23Updated 2 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆43Updated last year
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 2 years ago
- ☆11Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆66Updated 9 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated 2 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆27Updated last year
- code for DFAWnet☆32Updated last year
- ☆19Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆34Updated 2 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)☆52Updated last year
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆24Updated 2 weeks ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆29Updated 6 months ago