Polimi-YuYue / MSIFT
Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data
☆41Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for MSIFT
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆31Updated 4 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆38Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆28Updated 2 months ago
- [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis☆14Updated 7 months ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆25Updated last year
- 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☆32Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆16Updated 10 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆25Updated last year
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆14Updated 8 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆32Updated 2 years ago
- ☆36Updated 2 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 6 months ago
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated 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
- A few shot learning repository for bearing fault diagnosis.☆64Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- 基于深度学习的机械故障诊断☆25Updated 8 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆31Updated last year
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆39Updated this week
- ☆24Updated 3 years ago
- ☆18Updated 2 years ago
- 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）☆35Updated last week
- 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
- 一种用于复杂工况机械故障检测的GNN方法☆39Updated last year
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆23Updated 5 months ago
- ☆21Updated last year
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆29Updated 2 years ago
- A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis☆35Updated 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
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆48Updated 3 years ago