yanshen0210 / LiConvFormer-a-lightweight-fault-diagnosis-framework
一种轻量化故障诊断框架——LiConvFormer
☆66Updated last year
Related projects ⓘ
Alternatives and complementary repositories for LiConvFormer-a-lightweight-fault-diagnosis-framework
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 6 months ago
- A few shot learning repository for bearing fault diagnosis.☆63Updated last year
- Code sharing of fault diagnosis papers.☆44Updated 10 months ago
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆40Updated 7 months ago
- Using transformer to realize Bearing Fault Diagnosis☆52Updated last year
- 基于深度学习的机械故障诊断☆25Updated 8 months ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆39Updated 3 weeks ago
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆58Updated this week
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆44Updated 3 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆32Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆16Updated 10 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
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆23Updated 5 months ago
- ☆36Updated 2 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆91Updated 6 months ago
- ☆48Updated 10 months ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆28Updated 2 months ago
- ☆45Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆96Updated 10 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆30Updated 4 months ago
- The intelligent fault diagnosis methods of HNU IDG☆62Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆38Updated last year
- Transfer learning☆47Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)☆59Updated 5 months ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆25Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆17Updated last year
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆78Updated 6 months ago
- 基于机器学习的机械故障诊断☆13Updated 8 months ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆79Updated 2 years ago