ZhaoZhibin / Few-shot-Transfer-LearningLinks
Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
☆19Updated 5 years ago
Alternatives and similar repositories for Few-shot-Transfer-Learning
Users that are interested in Few-shot-Transfer-Learning are comparing it to the libraries listed below
Sorting:
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 10 months ago
- ☆13Updated last month
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆47Updated 3 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- Transfer learning☆56Updated 4 years ago
- ☆26Updated 2 years ago
- ☆21Updated 5 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆95Updated 3 years ago
- ☆23Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆42Updated 2 years 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☆35Updated 2 years ago
- ☆27Updated 4 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆41Updated 2 years ago
- WT-planetary-gearbox-datasets☆73Updated last year
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆48Updated 3 years ago
- ☆23Updated 2 years ago
- ☆20Updated 2 years ago
- ☆23Updated 3 years ago
- code for DFAWnet☆36Updated 2 years ago
- ☆64Updated 4 years ago
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 4 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆16Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 3 years ago
- wdcnn model for bearing fault diagnosis☆34Updated 5 years ago
- ☆47Updated 3 years ago
- Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, …☆46Updated 2 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆75Updated 7 years ago
- ☆33Updated 2 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" (MLDSO) which p…☆34Updated 9 months ago