khalidalrifai / HMSCNN
Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery
☆9Updated 11 months ago
Related projects: ⓘ
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆36Updated last year
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆40Updated 5 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆21Updated 11 months ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆25Updated 3 weeks ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆32Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆26Updated 2 months ago
- Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults☆11Updated last month
- ☆23Updated 3 years ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆12Updated 6 months ago
- ☆19Updated last year
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆16Updated 9 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆27Updated last year
- [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis☆10Updated 5 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆14Updated 8 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆56Updated 4 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆28Updated last year
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆24Updated last year
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆38Updated 3 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆14Updated 4 months ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆21Updated 3 weeks ago
- A few shot learning repository for bearing fault diagnosis.☆55Updated last year
- ☆30Updated 2 weeks ago
- ☆20Updated 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☆31Updated last year
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆18Updated 3 months ago
- ☆42Updated 2 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆35Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆32Updated last month
- A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis☆33Updated 2 months ago
- Transfer learning☆43Updated 3 years ago