QinYi-team / Code
☆92Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Code
- Transfer learning☆47Updated 3 years ago
- The intelligent fault diagnosis methods of HNU IDG☆62Updated 2 years ago
- ☆48Updated 10 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 6 months ago
- ☆28Updated last year
- ☆45Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆48Updated 3 years ago
- The intelligent fault diagnosis of HNU IDG☆77Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆39Updated 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)☆47Updated last year
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆91Updated 6 months ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆42Updated 3 years ago
- ☆91Updated last year
- A few shot learning repository for bearing fault diagnosis.☆63Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆32Updated 2 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆34Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆16Updated 10 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- ☆79Updated 2 months ago
- code for DFAWnet☆30Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆17Updated last year
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆108Updated 5 months ago
- 基于深度学习的机械故障诊断☆25Updated 8 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆53Updated 2 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆52Updated 2 years ago
- ☆28Updated last year
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆40Updated 6 years ago
- Remaining useful life prediction by Transformer-based Model☆41Updated 2 years ago
- 机械故障诊断公开数据集☆36Updated 11 months ago
- ☆10Updated 9 months ago