hectorLop / Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator
Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis"
☆33Updated 3 years ago
Alternatives and similar repositories for Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator:
Users that are interested in Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator are comparing it to the libraries listed below
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆32Updated last year
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆38Updated 2 years ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆26Updated last year
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含稳定转速和时变转速）☆49Updated last month
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆70Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆32Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆55Updated 3 years ago
- ☆22Updated last year
- ☆52Updated last year
- [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis☆17Updated 10 months ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆20Updated last year
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆44Updated 3 years ago
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆22Updated last year
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆17Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆34Updated 2 years ago
- ☆45Updated 2 years ago
- ☆23Updated 2 years ago
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆43Updated 10 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆36Updated 7 months ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆24Updated 8 months ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆22Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆38Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated last year
- ☆31Updated 2 years ago
- ☆20Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆49Updated 3 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆24Updated 3 months ago
- ☆43Updated 3 years ago
- Transfer learning☆49Updated 3 years ago
- ☆24Updated 3 years ago