HaoWenJohn / FTCCLLinks
This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insufficient Labels
☆15Updated last year
Alternatives and similar repositories for FTCCL
Users that are interested in FTCCL are comparing it to the libraries listed below
Sorting:
- ☆23Updated 2 years ago
- Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Inf…☆32Updated 5 months ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 7 months ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 10 months ago
- Code for paper being submitted☆14Updated 2 months ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- Python code for TCTL method☆12Updated last year
- A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis☆10Updated 5 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 4 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆21Updated last year
- This repository contains the implementation of the model for bearing fault diagnosis,also includes five comparison models for performance…☆14Updated 3 months ago
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- ☆20Updated 2 years ago
- DMsrTTLN code☆18Updated 10 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆39Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆29Updated last year
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆23Updated 3 months ago
- This is the source code for "Heterogeneous Federated Learning: Client-side Collaborative Update Inter-Domain Generalization Method for In…☆11Updated 3 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 4 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆14Updated 3 months ago
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆13Updated 2 months ago
- 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
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆33Updated last year
- ☆22Updated 2 years ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆25Updated last year