zhiqan / SeGMVAE
A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis
☆37Updated 9 months ago
Alternatives and similar repositories for SeGMVAE:
Users that are interested in SeGMVAE are comparing it to the libraries listed below
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆41Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆29Updated 7 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆28Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆40Updated last month
- [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis☆17Updated 11 months ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆52Updated last month
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated 2 years ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆17Updated last year
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆20Updated 10 months ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆26Updated last year
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆17Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆22Updated last year
- ☆21Updated 2 years ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆25Updated 9 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆25Updated last month
- [MSSP 2023] Mutual-assistance semisupervised domain generalization network for intelligent fault diagnosis under unseen working condition…☆12Updated 11 months ago
- ☆20Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆37Updated 2 years ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated 10 months ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆39Updated 2 years ago
- ☆24Updated 2 years ago
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆11Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆56Updated 3 years ago
- DMsrTTLN code☆17Updated 7 months ago
- ☆37Updated last year
- ☆24Updated 3 years ago
- Code for paper: Scale-information fused correntropy representation for mechanical fault diagnosis under time-varying conditions☆14Updated 7 months ago
- Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machin…☆13Updated 8 months ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆31Updated 3 months ago