yanshen210 / KNN-SA-GNN
论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码
☆26Updated 2 years ago
Alternatives and similar repositories for KNN-SA-GNN:
Users that are interested in KNN-SA-GNN are comparing it to the libraries listed below
- 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
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆26Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆43Updated 9 months ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 2 months ago
- 基于深度学习的机械故障诊断☆27Updated 11 months ago
- 一种用于复杂工况机械故障检测的GNN方法☆43Updated last year
- ☆20Updated 2 years ago
- ☆29Updated last year
- ☆31Updated 2 years ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆16Updated 11 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆48Updated 3 years ago
- ☆18Updated 2 years ago
- Transfer learning☆49Updated 3 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated last year
- ☆21Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆34Updated 2 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 2 months ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated 9 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆36Updated 6 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- ☆13Updated 3 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆24Updated 8 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 8 months ago
- ☆22Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆32Updated 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)☆50Updated last year
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆15Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆54Updated 3 years ago