shane995 / MTAGN
The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-objective Fault Diagnosis under Small Sample
☆22Updated last year
Alternatives and similar repositories for MTAGN:
Users that are interested in MTAGN are comparing it to the libraries listed below
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆32Updated last year
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆26Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆34Updated 2 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆37Updated 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
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆24Updated 8 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆55Updated 3 years ago
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆43Updated 10 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…