asdvfghg / ClassBD
☆36Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for ClassBD
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆25Updated last year
- [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis☆14Updated 7 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 6 months ago
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆40Updated 7 months ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆18Updated 5 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
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆23Updated 5 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆17Updated 2 weeks ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆58Updated 10 months ago
- code for DFAWnet☆30Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆18Updated 11 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆17Updated 6 months ago
- ☆18Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆32Updated 2 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆30Updated 4 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆38Updated last year
- ☆21Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆21Updated last year
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆31Updated last year
- ☆21Updated last year
- A few shot learning repository for bearing fault diagnosis.☆63Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆16Updated 10 months ago
- ☆28Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆28Updated 2 months ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆52Updated 2 years ago
- [MSSP 2023] Mutual-assistance semisupervised domain generalization network for intelligent fault diagnosis under unseen working condition…☆10Updated 7 months ago
- 一种用于复杂工况机械故障检测的GNN方法☆39Updated last year
- Code sharing of fault diagnosis papers.☆44Updated 10 months ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆39Updated 3 weeks ago