yanshen210 / KNN-SA-GNNLinks
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
☆28Updated 3 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
Sorting:
- 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☆36Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- ☆32Updated last year
- ☆23Updated 2 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆46Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆39Updated 2 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆33Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 4 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 7 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆53Updated 3 years ago
- ☆33Updated 2 years ago
- Transfer learning☆51Updated 3 years ago
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆18Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆29Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆39Updated 2 years ago
- ☆25Updated 2 years ago
- 基于机器学习的机械故障诊断☆18Updated last year
- 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)☆53Updated 2 weeks ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- Code sharing of fault diagnosis papers.☆51Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 4 months ago
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆15Updated 2 years ago
- 基于深度学习的机械故障诊断☆35Updated last year